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
ARG_EXECUTION_DATE,
            ARG_SUBDIR,
            ARG_DRY_RUN,
            ARG_TASK_PARAMS,
            ARG_POST_MORTEM,
            ARG_ENV_VARS,
        ),
    ),
    ActionCommand(
        name='states-for-dag-run',
        help="Get the status of all task instances in a dag run",
        func=lazy_load_command('airflow.cli.commands.task_command.task_states_for_dag_run'),
        args=(ARG_DAG_ID, ARG_EXECUTION_DATE, ARG_OUTPUT, ARG_VERBOSE),
    ),
)
POOLS_COMMANDS = (
    ActionCommand(
        name='list',
        help='List pools',
        func=lazy_load_command('airflow.cli.commands.pool_command.pool_list'),
        args=(ARG_OUTPUT, ARG_VERBOSE),
    ),
    ActionCommand(
        name='get',
        help='Get pool size',
        func=lazy_load_command('airflow.cli.commands.pool_command.pool_get'),
        args=(ARG_POOL_NAME, ARG_OUTPUT, ARG_VERBOSE),
    ),
    ActionCommand(
        name='set',