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
'To create an user with "Admin" role and username equals to "admin", run:\n'
            '\n'
            '    $ airflow users create \\\n'
            '          --username admin \\\n'
            '          --firstname FIRST_NAME \\\n'
            '          --lastname LAST_NAME \\\n'
            '          --role Admin \\\n'
            '          --email admin@example.org'
        ),
    ),
    ActionCommand(
        name='delete',
        help='Delete a user',
        func=lazy_load_command('airflow.cli.commands.user_command.users_delete'),
        args=(ARG_USERNAME,),
    ),
    ActionCommand(
        name='add-role',
        help='Add role to a user',
        func=lazy_load_command('airflow.cli.commands.user_command.add_role'),
        args=(ARG_USERNAME_OPTIONAL, ARG_EMAIL_OPTIONAL, ARG_ROLE),
    ),
    ActionCommand(
        name='remove-role',
        help='Remove role from a user',
        func=lazy_load_command('airflow.cli.commands.user_command.remove_role'),
        args=(ARG_USERNAME_OPTIONAL, ARG_EMAIL_OPTIONAL, ARG_ROLE),
    ),
    ActionCommand(
        name='import',