Dendrogram: ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()

I am trying to plot a Dendrogram to cluster data but this error is stopping me. My datea is here.

I first chose columns to work with:

    df_euro = pd.read_csv('https://assets.datacamp.com/production/repositories/655/datasets/2a1f3ab7bcc76eef1b8e1eb29afbd54c4ebf86f2/eurovision-2016.csv')
   samples = df_euro.iloc[:, 2:7].values[:42]
   country_names = df_euro.iloc[:, 1].values[:42]
            
        # Calculate the linkage: mergings
            mergings = linkage(samples , method = 'complete')
            # Plot the dendrogram
            dendrogram(
                mergings,
                labels = y,
                leaf_rotation = 90,
                leaf_font_size = 6
            )
            plt.show()

But I'm getting this error which I can't understand. I googled it and checked that both have the same shape (1066,5) and (1066,). There is no NA in both features and country_names.

I know the issue is with labels because it works well when I remove it but I couldn't find away to solve it. Any help will be really appreciated. Alternately, how can I add the labels to the Dendrogram?

The error I am getting:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
ipython-input-113-7fffdc847e5e in module
      4 mergings = linkage(feat, method = 'complete')
      5 # Plot the dendrogram
---- 6 dendrogram(
      7     mergings,
      8     labels = target_col,

C:\ProgramData\Anaconda3\lib\site-packages\scipy\cluster\hierarchy.py in dendrogram(Z, p, truncate_mode, color_threshold, get_leaves, orientation, labels, count_sort, distance_sort, show_leaf_counts, no_plot, no_labels, leaf_font_size, leaf_rotation, leaf_label_func, show_contracted, link_color_func, ax, above_threshold_color)
   3275                          'bottom', or 'right')
   3276 
- 3277     if labels and Z.shape[0] + 1 != len(labels):
   3278         raise ValueError(Dimensions of Z and labels must be consistent.)
   3279 

C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\generic.py in __nonzero__(self)
   1476 
   1477     def __nonzero__(self):
- 1478         raise ValueError(
   1479             fThe truth value of a {type(self).__name__} is ambiguous. 
   1480             Use a.empty, a.bool(), a.item(), a.any() or a.all().

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().