I reproduced your case with the following, assuming the second column is a boolean and the 3rd a timestamp

create table test (col1 varchar, col2 boolean, col3 timestamp, col4 varchar, col5 varchar, col6 varchar, col7 varchar, col8 varchar, col9 varchar)                                  ;                                                                                               

if now i use

copy test from STDIN delimiter ',' CSV QUOTE '"' NULL 'null';

and pass the string you mentioned

"f6a16ff7-4a31-11eb-be7b-8344edc8f36b","false","2021-01-04 00:00:12.347988","null","null","IS_PUBLIC","null","null","null"

The data is parsed correctly

COPY 1

and the output from the table looks correct.

defaultdb=> select * from test;
                 col1                 | col2 |            col3            | col4 | col5 |   col6    | col7 | col8 | col9 
--------------------------------------+------+----------------------------+------+------+-----------+------+------+------
 f6a16ff7-4a31-11eb-be7b-8344edc8f36b | f    | 2021-01-04 00:00:12.347988 | null | null | IS_PUBLIC | null | null | null
(1 row)

There is no way you can load this file with COPY, since "null" is quoted with double quotes and consequently cannot be used as NULL placeholder – it is always interpreted as string.

The best you can do is to load the file into a table where the respective columns are defined as text, then do something like

ALTER TABLE doc ALTER uuidcol TYPE uuid USING CAST(nullif(uuidcol, 'null') AS uuid);

Even though @Abelisto command was working i still wasn't be able to upload some jsonb lines.

But i also had an .json alternative of my file like this:

[
    {
        "c0": "f6a16ff7-4a31-11eb-be7b-8344edc8f36b",
        "c1": false,
        "c2": "2021-01-04 00:00:12.347988",
        "c3": null,
        "c4": null,
        "c5": "IS_PUBLIC",
        "c6": null,
        "c7": null,
        "c8": null
    },
    ...
]

So i end up in writing this python script which worked for me:

import json
import psycopg2
from datetime import datetime
import uuid


connection = psycopg2.connect(user="admin",
                              password="admin",
                              host="127.0.0.1",
                              port="5432",
                              database="postgres")
cursor = connection.cursor()


def insertLine(line):

    id = uuid.UUID(line['c0']).hex

    removed = bool(line['c1'])

    modified_at = datetime.strptime(line['c2'], '%Y-%m-%d %H:%M:%S.%f')

    root_id = uuid.UUID(line['c3']).hex if line['c3'] else None
    parent_id = uuid.UUID(line['c4']).hex if line['c4'] else None

    acl = json.dumps(line['c5']) if line['c5'] else None

    properties = json.dumps(line['c6']) if line['c6'] else None
    data = json.dumps(line['c7']) if line['c7'] else None
    file_meta = json.dumps(line['c8']) if line['c8'] else None

    record_to_insert = (id, removed, modified_at, root_id,
                        parent_id, acl, properties, data, file_meta)

    try:
        postgres_insert_query = """INSERT INTO doc (id, removed, modified_at, root_id, parent_id, acl, properties, data, file_meta) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s)"""
        
        cursor.execute(postgres_insert_query, record_to_insert)

        connection.commit()
        count = cursor.rowcount


    except psycopg2.Error as error:
        print("ERROR:" + str(error))


file = 'table.json'

with open(file) as json_file:
    data = json.load(json_file)
    for p in data:
        insertLine(p)


if connection:
    cursor.close()
    connection.close()
    print("PostgreSQL connection is closed")

So i guess it is just bad practice to backup jsonb fields in csv.