Fix TimeSensorAsync (#17748)

When using the following example dag, it currently fails with `You cannot pass naive datetimes` error.
This happens because `TimeSensorAsync` passes a `datetime.time` object while `DateTimeTrigger` expects
a `datetime.datetime` object. This PR fixes that.

Example DAG:

```python
from datetime import timedelta

from airflow import DAG
from airflow.sensors.time_sensor import TimeSensorAsync
from airflow.utils import dates, timezone

with DAG(
    dag_id='example_date_time_async_operator',
    schedule_interval='0 0 * * *',
    start_date=dates.days_ago(2),
    dagrun_timeout=timedelta(minutes=60),
    tags=['example', 'example2', 'async'],
) as dag:

    TimeSensorAsync(task_id="test-2", target_time=timezone.time(22, 43, 0))
```

airflow/sensors/time_sensor.py

@@ -15,6 +15,7 @@
 # KIND, either express or implied.  See the License for the
 # specific language governing permissions and limitations
 # under the License.
+import datetime
 
 from airflow.sensors.base import BaseSensorOperator
 from airflow.triggers.temporal import DateTimeTrigger
@@ -50,9 +51,15 @@ class TimeSensorAsync(BaseSensorOperator):
     def __init__(self, *, target_time, **kwargs):
         super().__init__(**kwargs)
         self.target_time = target_time
+        current_time = timezone.make_naive(timezone.utcnow(), self.dag.timezone)
+        todays_date = current_time.date()
+        self.target_datetime = datetime.datetime.combine(todays_date, self.target_time, current_time.tzinfo)
 
     def execute(self, context):
-        self.defer(trigger=DateTimeTrigger(moment=self.target_time), method_name="execute_complete")
+        self.defer(
+            trigger=DateTimeTrigger(moment=self.target_datetime),
+            method_name="execute_complete",
+        )
 
     def execute_complete(self, context, event=None):  # pylint: disable=unused-argument
         """Callback for when the trigger fires - returns immediately."""

airflow/triggers/base.py

@@ -30,7 +30,7 @@ class BaseTrigger(abc.ABC):
 
     We use the same class for both situations, and rely on all Trigger classes
     to be able to return the (Airflow-JSON-encodable) arguments that will
-    let them be reinsantiated elsewhere.
+    let them be re-instantiated elsewhere.
     """
 
     def __init__(self):