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
GroupCommand(
        name='dags',
        help='Manage DAGs',
        subcommands=DAGS_COMMANDS,
    ),
    GroupCommand(
        name="kubernetes", help='Tools to help run the KubernetesExecutor', subcommands=KUBERNETES_COMMANDS
    ),
    GroupCommand(
        name='tasks',
        help='Manage tasks',
        subcommands=TASKS_COMMANDS,
    ),
    GroupCommand(
        name='pools',
        help="Manage pools",
        subcommands=POOLS_COMMANDS,
    ),
    GroupCommand(
        name='variables',
        help="Manage variables",
        subcommands=VARIABLES_COMMANDS,
    ),
    GroupCommand(
        name='jobs',
        help="Manage jobs",
        subcommands=JOBS_COMMANDS,
    ),
    GroupCommand(
        name='db',