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='Minimize any personal identifiable information. Use it when sharing output with others.',
    action='store_true',
)
ARG_FILE_IO = Arg(
    ('--file-io',), help='Send output to file.io service and returns link.', action='store_true'
)
ARG_SECTION = Arg(
    ("section",),
    help="The section name",
)
ARG_OPTION = Arg(
    ("option",),
    help="The option name",
)
ARG_NAMESPACE = Arg(
    ("--namespace",),
    default='default',
    help="Kubernetes Namespace",
)
ARG_JOB_TYPE_FILTER = Arg(
    ('--job-type',),
    choices=('BackfillJob', 'LocalTaskJob', 'SchedulerJob'),
    action='store',
    help='The type of job(s) that will be checked.',
)
ARG_JOB_HOSTNAME_FILTER = Arg(
    ("--hostname",),
    default=None,
    type=str,
    help="The hostname of job(s) that will be checked.",