Projection pushdown doesn't work for User Defined plan Nodes

### Describe the bug

Reported in DiscordL https://discord.com/channels/885562378132000778/1166447479609376850/1204466794165706802

My node requests only one column (I defined it as an expression as it stated in UserDefinedLogicalNodeCore), but parquet reader scans all the cols.

The expected behavior is:
```
MyNode(col1)
Parquet(col1)
```

However the actual behavior is
```
MyNode(col1)
Parquet(col1,col2)
```

Projection Pushdown works with predefined nodes like filter. But not with my custom node

### To Reproduce

_No response_

### Expected behavior

_No response_

### Additional context

This came from discord forums: https://discord.com/channels/885562378132000778/1166447479609376850/1204466794165706802

```
TableScan: ?table? projection=[project_id, user_id, created_at, event_id, event, str_0, str_1, str_2, str_3, str_4, str_5, str_6, str_7, str_8, str_9, str_10, str_11, str_12, str_13, str_14, str_15, str_16, str_17, str_18, str_19, str_20, str_21, str_22, str_23, str_24, ts_0, i_8, i_16, i_32, i_64, ts, bool, bool_nullable, string, decimal, group, v, string_dict]
Sort: date_trunc(Utf8("day"), created_at) AS created_at ASC NULLS LAST
PartitionedAggregatePartial: , agg: Count { filter: None, groups: Some([(Alias(Alias { expr: ScalarFunction(ScalarFunction { func_def: BuiltIn(DateTrunc), args: [Literal(Utf8("day")), Column(Column { relation: None, name: "created_at" })] }), relation: None, name: "created_at" }), SortField { data_type: Timestamp(Nanosecond, None) })]), predicate: Column { relation: None, name: "event" }, partition_col: Column { relation: None, name: "user_id" }, distinct: false } as "0_0"
Filter: project_id = Int64(1) AND created_at >= TimestampNanosecond(1706966073340870000, None) AND created_at <= TimestampNanosecond(1707225273340870000, None) AND event = UInt16(6)
Projection: project_id, user_id, created_at, event
TableScan: ?table? projection=[project_id, user_id, created_at, event_id, event]
```

Physical Plan
```
SortPreservingMergeExec: [date_trunc(day, created_at@1) ASC NULLS LAST], metrics=[]
SortExec: expr=[date_trunc(day, created_at@1) ASC NULLS LAST], metrics=[]
SegmentedAggregatePartialExec, metrics=[]
SortExec: expr=[project_id@0 ASC NULLS LAST,user_id@1 ASC NULLS LAST], metrics=[]
CoalesceBatchesExec: target_batch_size=8192, metrics=[]
RepartitionExec: partitioning=Hash([project_id@0, user_id@1], 12), input_partitions=12, metrics=[]
ProjectionExec: expr=[project_id@0 as project_id, user_id@1 as user_id, created_at@2 as created_at, event@4 as event], metrics=[]
CoalesceBatchesExec: target_batch_size=8192, metrics=[]
FilterExec: project_id@0 = 1 AND created_at@2 >= 1706966073340870000 AND created_at@2 <= 1707225273340870000 AND event@4 = 6, metrics=[]
RepartitionExec: partitioning=RoundRobinBatch(12), input_partitions=1, metrics=[]
ParquetExec: file_groups={1 group: [[Users/maximbogdanov/user_files/store/tables/events/0/0.parquet]]}, projection=[project_id, user_id, created_at, event_id, event], output_orderings=[[project_id@0 DESC NULLS LAST], [user_id@1 DESC NULLS LAST]], predicate=project_id@0 = 1 AND created_at@2 >= 1706966073340870000 AND created_at@2 <= 1707225273340870000 AND event@4 = 6, pruning_predicate=project_id_min@0 <= 1 AND 1 <= project_id_max@1 AND created_at_max@2 >= 1706966073340870000 AND created_at_min@3 <= 1707225273340870000 AND event_min@4 <= 6 AND 6 <= event_max@5, metrics=[num_predicate_creation_errors=0]

Start with the UserDefinedLogicalNodeCore projection interface and the projection pushdown path, then reproduce the issue with a custom node reading from Parquet. Compare the logical and physical plans shown in the report; done means the Parquet scan requests only the columns required by the user-defined node.

Written by the indexing model from the issue text.