Hello,

I changed the format of the tables a long time ago so that they could be parsed in standard Linux tools such as AWK.
https://github.com/apache/airflow/pull/8409
For example, to list the files that contain the DAG, I could run the command below.
```
airflow dags list | grep -v "dag_id" | awk '{print $2}' | sort | uniq
```
To pause all dags:
```bash
airflow dags list | awk '{print $1}' | grep -v "dag_id"| xargs airflow dags pause
```
Unfortunately [that has changed](https://github.com/apache/airflow/pull/12704) and we now have more fancy tables, but harder to use in standard Linux tools.

Alternatively, we can use JSON output, but I don't always have JQ installed on production environment, so performing administrative tasks is difficult for me.
```bash
$  docker run apache/airflow:2.0.1 bash -c "jq"

/bin/bash: jq: command not found
```

Best regards,
Kamil Breguła

CC: @turbaszek 
airflow/cli/cli_parser.py
help="Import users from JSON file. Example format::\n"
    + textwrap.indent(
        textwrap.dedent(
            '''
            [
                {
                    "email": "foo@bar.org",
                    "firstname": "Jon",
                    "lastname": "Doe",
                    "roles": ["Public"],
                    "username": "jondoe"
                }
            ]'''
        ),
        " " * 4,
    ),
)
ARG_USER_EXPORT = Arg(("export",), metavar="FILEPATH", help="Export all users to JSON file")
ARG_CREATE_ROLE = Arg(('-c', '--create'), help='Create a new role', action='store_true')
ARG_LIST_ROLES = Arg(('-l', '--list'), help='List roles', action='store_true')
ARG_ROLES = Arg(('role',), help='The name of a role', nargs='*')
ARG_AUTOSCALE = Arg(('-a', '--autoscale'), help="Minimum and Maximum number of worker to autoscale")
ARG_SKIP_SERVE_LOGS = Arg(
    ("-s", "--skip-serve-logs"),
    default=False,
    help="Don't start the serve logs process along with the workers",
    action="store_true",
)
ARG_ANONYMIZE = Arg(
    ('--anonymize',),