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
"--output-path",
    ),
    help="The output for generated yaml files",
    type=str,
    default="[CWD]" if BUILD_DOCS else os.getcwd(),
)
ARG_DRY_RUN = Arg(
    ("-n", "--dry-run"),
    help="Perform a dry run for each task. Only renders Template Fields for each task, nothing else",
    action="store_true",
)
ARG_PID = Arg(("--pid",), help="PID file location", nargs='?')
ARG_DAEMON = Arg(
    ("-D", "--daemon"), help="Daemonize instead of running in the foreground", action="store_true"
)
ARG_STDERR = Arg(("--stderr",), help="Redirect stderr to this file")
ARG_STDOUT = Arg(("--stdout",), help="Redirect stdout to this file")
ARG_LOG_FILE = Arg(("-l", "--log-file"), help="Location of the log file")
ARG_YES = Arg(
    ("-y", "--yes"), help="Do not prompt to confirm reset. Use with care!", action="store_true", default=False
)
ARG_OUTPUT = Arg(
    (
        "-o",
        "--output",
    ),
    help="Output format. Allowed values: json, yaml, table (default: table)",
    metavar="(table, json, yaml)",
    choices=("table", "json", "yaml"),
    default="table",