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_WORKERS = Arg(
    ("-w", "--workers"),
    default=conf.get('webserver', 'WORKERS'),
    type=int,
    help="Number of workers to run the webserver on",
)
ARG_WORKERCLASS = Arg(
    ("-k", "--workerclass"),
    default=conf.get('webserver', 'WORKER_CLASS'),
    choices=['sync', 'eventlet', 'gevent', 'tornado'],
    help="The worker class to use for Gunicorn",
)
ARG_WORKER_TIMEOUT = Arg(
    ("-t", "--worker-timeout"),
    default=conf.get('webserver', 'WEB_SERVER_WORKER_TIMEOUT'),
    type=int,
    help="The timeout for waiting on webserver workers",
)
ARG_HOSTNAME = Arg(
    ("-H", "--hostname"),
    default=conf.get('webserver', 'WEB_SERVER_HOST'),
    help="Set the hostname on which to run the web server",
)
ARG_DEBUG = Arg(
    ("-d", "--debug"), help="Use the server that ships with Flask in debug mode", action="store_true"
)
ARG_ACCESS_LOGFILE = Arg(
    ("-A", "--access-logfile"),
    default=conf.get('webserver', 'ACCESS_LOGFILE'),
    help="The logfile to store the webserver access log. Use '-' to print to stderr",