### Body

There are some use cases where users want to trigger new DAG run as soon as one finished. This is a request I've seen several times with some variations (for example like this [Stackoverflow question](https://stackoverflow.com/q/75623153/14624409)) but the basic request is the same.

The workaround users do to get such functionality is place `TriggerDagRunOperator` as last task of their DAG invoking the same DAG:

```
from datetime import datetime

from airflow import DAG
from airflow.operators.empty import EmptyOperator
from airflow.operators.trigger_dagrun import TriggerDagRunOperator

with DAG(
    dag_id="example",
    start_date=datetime(2023, 1, 1,),
    catchup=False,
    schedule=None,
) as dag:
    task = EmptyOperator(task_id="first")
    trigger = TriggerDagRunOperator(
        task_id="trigger",
        trigger_dag_id="example",
    )

    task >> trigger

```

As you can see this works nicely:
![Screenshot 2023-03-03 at 14 20 51](https://user-images.githubusercontent.com/45845474/222718862-dfde8a41-24b6-4991-b318-b7f9784514f6.png)

My suggestion is to add first class support for this use case, so the above example will be changed to:

```

from datetime import datetime

from airflow import DAG
from airflow.operators.empty import EmptyOperator
from airflow.operators.trigger_dagrun import TriggerDagRunOperator

with DAG(
    dag_id="example",
    start_date=datetime(2023, 1, 1,),
    catchup=False,
    schedule="@continues",
) as dag:
    task = EmptyOperator(task_id="first")
```

I guess it won't exactly be `"@continues"` but more likely new [ScheduleArg](https://github.com/apache/airflow/blob/8b8552f5c4111fe0732067d7af06aa5285498a79/airflow/models/dag.py#L127) type but I show it like that just for simplification of the idea.

### Committer

- [X] I acknowledge that I am a maintainer/committer of the Apache Airflow project.
"""
        Tests following_schedule a dag with a relativedelta schedule_interval
        using decorated dag
        """
        from airflow.decorators import dag
        dag_id = "test_schedule_dag_relativedelta"
        delta = relativedelta(hours=+1)
        @dag(dag_id=dag_id, schedule_interval=delta)
        def mydag():
            BaseOperator(task_id="faketastic", owner="Also fake", start_date=TEST_DATE)
        _dag = mydag()
        _next = _dag.following_schedule(TEST_DATE)
        assert _next.isoformat() == "2015-01-02T01:00:00+00:00"
        _next = _dag.following_schedule(_next)
        assert _next.isoformat() == "2015-01-02T02:00:00+00:00"
    def test_previous_schedule_datetime_timezone(self):
        
        start = datetime.datetime(2018, 3, 25, 2, tzinfo=datetime.timezone.utc)
        dag = DAG("tz_dag", start_date=start, schedule="@hourly")
        when = dag.previous_schedule(start)
        assert when.isoformat() == "2018-03-25T01:00:00+00:00"
    def test_following_schedule_datetime_timezone(self):
        
        start = datetime.datetime(2018, 3, 25, 2, tzinfo=datetime.timezone.utc)
        dag = DAG("tz_dag", start_date=start, schedule="@hourly")
        when = dag.following_schedule(start)
        assert when.isoformat() == "2018-03-25T03:00:00+00:00"
    def test_following_schedule_datetime_timezone_utc0530(self):
        
        class UTC0530(datetime.tzinfo):