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
ActionCommand(
        name='state',
        help="Get the status of a task instance",
        func=lazy_load_command('airflow.cli.commands.task_command.task_state'),
        args=(ARG_DAG_ID, ARG_TASK_ID, ARG_EXECUTION_DATE, ARG_SUBDIR),
    ),
    ActionCommand(
        name='failed-deps',
        help="Returns the unmet dependencies for a task instance",
        description=(
            "Returns the unmet dependencies for a task instance from the perspective of the scheduler. "
            "In other words, why a task instance doesn't get scheduled and then queued by the scheduler, "
            "and then run by an executor."
        ),
        func=lazy_load_command('airflow.cli.commands.task_command.task_failed_deps'),
        args=(ARG_DAG_ID, ARG_TASK_ID, ARG_EXECUTION_DATE, ARG_SUBDIR),
    ),
    ActionCommand(
        name='render',
        help="Render a task instance's template(s)",
        func=lazy_load_command('airflow.cli.commands.task_command.task_render'),
        args=(ARG_DAG_ID, ARG_TASK_ID, ARG_EXECUTION_DATE, ARG_SUBDIR),
    ),
    ActionCommand(
        name='run',
        help="Run a single task instance",
        func=lazy_load_command('airflow.cli.commands.task_command.task_run'),
        args=(
            ARG_DAG_ID,
            ARG_TASK_ID,