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**Description**
- The `airflow serve_logs` command has been removed from the CLI as of 2.0.0
- When using `CeleryExecutor`, the `airflow celery worker` command runs the `serve_logs` process in the background.
- We should do the same with `airflow scheduler` command when using `LocalExecutor` or `SequentialExecutor`
 
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**Use case / motivation**
- This will allow for viewing task logs in the UI when using `LocalExecutor` or `SequentialExecutor` without elasticsearch configured.

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**Are you willing to submit a PR?**
Yes. Working with @dimberman .

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**Related Issues**
- https://github.com/apache/airflow/issues/14222
- https://github.com/apache/airflow/issues/13331

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airflow/cli/cli_parser.py
#
#
#
"""Command-line interface"""
import argparse
import json
import os
import textwrap
from argparse import Action, ArgumentError, RawTextHelpFormatter
from functools import lru_cache
from typing import Callable, Dict, Iterable, List, NamedTuple, Optional, Union
from airflow import settings
from airflow.cli.commands.legacy_commands import check_legacy_command
from airflow.configuration import conf
from airflow.exceptions import AirflowException
from airflow.executors.executor_constants import CELERY_EXECUTOR, CELERY_KUBERNETES_EXECUTOR
from airflow.utils.cli import ColorMode
from airflow.utils.helpers import partition
from airflow.utils.module_loading import import_string
from airflow.utils.timezone import parse as parsedate
BUILD_DOCS = "BUILDING_AIRFLOW_DOCS" in os.environ
def lazy_load_command(import_path: str) -> Callable:
    """Create a lazy loader for command"""
    _, _, name = import_path.rpartition('.')
    def command(*args, **kwargs):