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/simple_table.py
"""Prints provided using format specified by output argument"""
        output_to_renderer = {
            "json": self.print_as_json,
            "yaml": self.print_as_yaml,
            "table": self.print_as_table,
        }
        renderer = output_to_renderer.get(output)
        if not renderer:
            raise ValueError(
                f"Unknown formatter: {output}. Allowed options: {list(output_to_renderer.keys())}"
            )
        if not all(isinstance(d, dict) for d in data) and not mapper:
            raise ValueError("To tabulate non-dictionary data you need to provide `mapper` function")
        if mapper:
            dict_data: List[Dict] = [mapper(d) for d in data]
        else:
            dict_data: List[Dict] = data
        dict_data = [{k: self._normalize_data(v, output) for k, v in d.items()} for d in dict_data]
        renderer(dict_data)
class SimpleTable(Table):