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
#
#
import inspect
import json
from typing import Any, Callable, Dict, List, Optional, Union
import yaml
from rich.box import ASCII_DOUBLE_HEAD
from rich.console import Console
from rich.syntax import Syntax
from rich.table import Table
from airflow.plugins_manager import PluginsDirectorySource
from airflow.utils.platform import is_tty
class AirflowConsole(Console):
    """Airflow rich console"""
    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)
        
        self._width = 200 if not is_tty() else self._width
    def print_as_json(self, data: Dict):
        """Renders dict as json text representation"""
        json_content = json.dumps(data)
        self.print(Syntax(json_content, "json", theme="ansi_dark"), soft_wrap=True)
    def print_as_yaml(self, data: Dict):