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_EXECUTION_DATE,
            ARG_SUBDIR,
            ARG_MARK_SUCCESS,
            ARG_FORCE,
            ARG_POOL,
            ARG_CFG_PATH,
            ARG_LOCAL,
            ARG_RAW,
            ARG_IGNORE_ALL_DEPENDENCIES,
            ARG_IGNORE_DEPENDENCIES,
            ARG_IGNORE_DEPENDS_ON_PAST,
            ARG_SHIP_DAG,
            ARG_PICKLE,
            ARG_JOB_ID,
            ARG_INTERACTIVE,
            ARG_ERROR_FILE,
            ARG_SHUT_DOWN_LOGGING,
        ),
    ),
    ActionCommand(
        name='test',
        help="Test a task instance",
        description=(
            "Test a task instance. This will run a task without checking for dependencies or recording "
            "its state in the database"
        ),
        func=lazy_load_command('airflow.cli.commands.task_command.task_test'),
        args=(
            ARG_DAG_ID,
            ARG_TASK_ID,