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_JOB_LIMIT = Arg(
    ("--limit",),
    default=1,
    type=positive_int(allow_zero=True),
    help="The number of recent jobs that will be checked. To disable limit, set 0. ",
)
ARG_ALLOW_MULTIPLE = Arg(
    ("--allow-multiple",),
    action='store_true',
    help="If passed, this command will be successful even if multiple matching alive jobs are found.",
)
ALTERNATIVE_CONN_SPECS_ARGS = [
    ARG_CONN_TYPE,
    ARG_CONN_DESCRIPTION,
    ARG_CONN_HOST,
    ARG_CONN_LOGIN,
    ARG_CONN_PASSWORD,
    ARG_CONN_SCHEMA,
    ARG_CONN_PORT,
]
class ActionCommand(NamedTuple):
    """Single CLI command"""
    name: str
    help: str
    func: Callable
    args: Iterable[Arg]
    description: Optional[str] = None
    epilog: Optional[str] = None
class GroupCommand(NamedTuple):