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
),
    action="store_true",
)
ARG_SHOW_DAGRUN = Arg(
    ("--show-dagrun",),
    help=(
        "After completing the backfill, shows the diagram for current DAG Run.\n"
        "\n"
        "The diagram is in DOT language\n"
    ),
    action='store_true',
)
ARG_IMGCAT_DAGRUN = Arg(
    ("--imgcat-dagrun",),
    help=(
        "After completing the dag run, prints a diagram on the screen for the "
        "current DAG Run using the imgcat tool.\n"
    ),
    action='store_true',
)
ARG_SAVE_DAGRUN = Arg(
    ("--save-dagrun",),
    help="After completing the backfill, saves the diagram for current DAG Run to the indicated file.\n\n",
)
ARG_TREE = Arg(("-t", "--tree"), help="Tree view", action="store_true")
ARG_SHUT_DOWN_LOGGING = Arg(
    ("--no-shut-down-logging",),
    help=argparse.SUPPRESS,
    dest="shut_down_logging",
    action="store_false",