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
func=lazy_load_command('airflow.cli.commands.kubernetes_command.cleanup_pods'),
        args=(ARG_NAMESPACE,),
    ),
    ActionCommand(
        name='generate-dag-yaml',
        help="Generate YAML files for all tasks in DAG. Useful for debugging tasks without "
        "launching into a cluster",
        func=lazy_load_command('airflow.cli.commands.kubernetes_command.generate_pod_yaml'),
        args=(ARG_DAG_ID, ARG_EXECUTION_DATE, ARG_SUBDIR, ARG_OUTPUT_PATH),
    ),
)
JOBS_COMMANDS = (
    ActionCommand(
        name='check',
        help="Checks if job(s) are still alive",
        func=lazy_load_command('airflow.cli.commands.jobs_command.check'),
        args=(ARG_JOB_TYPE_FILTER, ARG_JOB_HOSTNAME_FILTER, ARG_JOB_LIMIT, ARG_ALLOW_MULTIPLE),
        epilog=(
            'examples:\n'
            'To check if the local scheduler is still working properly, run:\n'
            '\n'
            '    $ airflow jobs check --job-type SchedulerJob --hostname "$(hostname)"\n'
            '\n'
            'To check if any scheduler is running when you are using high availability, run:\n'
            '\n'
            '    $ airflow jobs check --job-type SchedulerJob --allow-multiple --limit 100'
        ),
    ),
)
airflow_commands: List[CLICommand] = [