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='Configure pool',
        func=lazy_load_command('airflow.cli.commands.pool_command.pool_set'),
        args=(ARG_POOL_NAME, ARG_POOL_SLOTS, ARG_POOL_DESCRIPTION, ARG_OUTPUT, ARG_VERBOSE),
    ),
    ActionCommand(
        name='delete',
        help='Delete pool',
        func=lazy_load_command('airflow.cli.commands.pool_command.pool_delete'),
        args=(ARG_POOL_NAME, ARG_OUTPUT, ARG_VERBOSE),
    ),
    ActionCommand(
        name='import',
        help='Import pools',
        func=lazy_load_command('airflow.cli.commands.pool_command.pool_import'),
        args=(ARG_POOL_IMPORT, ARG_VERBOSE),
    ),
    ActionCommand(
        name='export',
        help='Export all pools',
        func=lazy_load_command('airflow.cli.commands.pool_command.pool_export'),
        args=(ARG_POOL_EXPORT,),
    ),
)
VARIABLES_COMMANDS = (
    ActionCommand(
        name='list',
        help='List variables',
        func=lazy_load_command('airflow.cli.commands.variable_command.variables_list'),
        args=(ARG_OUTPUT, ARG_VERBOSE),
    ),