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="Database operations",
        subcommands=DB_COMMANDS,
    ),
    ActionCommand(
        name='kerberos',
        help="Start a kerberos ticket renewer",
        func=lazy_load_command('airflow.cli.commands.kerberos_command.kerberos'),
        args=(ARG_PRINCIPAL, ARG_KEYTAB, ARG_PID, ARG_DAEMON, ARG_STDOUT, ARG_STDERR, ARG_LOG_FILE),
    ),
    ActionCommand(
        name='webserver',
        help="Start a Airflow webserver instance",
        func=lazy_load_command('airflow.cli.commands.webserver_command.webserver'),
        args=(
            ARG_PORT,
            ARG_WORKERS,
            ARG_WORKERCLASS,
            ARG_WORKER_TIMEOUT,
            ARG_HOSTNAME,
            ARG_PID,
            ARG_DAEMON,
            ARG_STDOUT,
            ARG_STDERR,
            ARG_ACCESS_LOGFILE,
            ARG_ERROR_LOGFILE,
            ARG_ACCESS_LOGFORMAT,
            ARG_LOG_FILE,
            ARG_SSL_CERT,
            ARG_SSL_KEY,
            ARG_DEBUG,