Error when trying to parse multiple rows via Relational API `values`

### What happens?

When trying to utilize the `values()` function for converting a native Python object into a relation, I am unable to create a relation with multiple rows and columns.

### To Reproduce

```
import duckdb

conn = duckdb.connect()

# 1) Base `VALUES` query using straight SQL (correct/expected)
conn.execute("FROM (VALUES (1, 'a'), (2, 'b'))").df()

# 2) 1 row, multiple columns relation (correct/expected)
conn.values([1, 'a']).df()

# 3) 2 rows, multiple columns relation (multiple different attempts - same output below)
conn.values([1, 'a'], [2, 'b']).df()
conn.values([((1), ('a')), ((2), ('b'))]).df()
conn.values(([1, 'a']), ([2, 'b'])).df()
conn.values([[1, 'a'], [2, 'b']]).df()

# 4) 2 rows, multiple columns relation (works, but typed as lists)
conn.values(([1], ['a']), ([2], ['b'])).df()

# 5) Attempted to remove the lists 🤷🏼
conn.values((1, 'a'), (2, 'b'))
```

Outputs:
```
# 1)
col0 col1
0 1 a
1 2 b

# 2)
col0 col1
0 1 a

# 3)
col0 col1
0 [1, a] [2, b]

# 4)
[1] ['a']
0 [1] [a]
1 [2] [b]

# 5)
Traceback (most recent call last):
File "", line 1, in
duckdb.duckdb.BinderException: Binder Error: Referenced column "a" not found in FROM clause!
```

### OS:

OSX 15.6

### DuckDB Package Version:

1.4.0

### Python Version:

3.11

### Full Name:

Joe Rimsky

### Affiliation:

Gecko Robotics

### What is the latest build you tested with? If possible, we recommend testing with the latest nightly build.

I have tested with a stable release

### Did you include all relevant data sets for reproducing the issue?

Not applicable - the reproduction does not require a data set

### Did you include all code required to reproduce the issue?

- [x] Yes, I have

### Did you include all relevant configuration to reproduce the issue?

- [x] Yes, I have