input: Write a python function to train a Support Vector Classifier (SVC) on given dataset and labels, and predict the class for a given input.
  assert classify([[1,2,3], [4,5,6], [7,8,9]], ["a", "b", "c"], [2, 3, 4]) == "a"
  assert classify([[1,1], [2,2], [3,3], [4,4]], ["x", "y", "x", "y"], [2.5, 2.5]) == "x"
output: def classify(data, labels, input_data):
      from sklearn.svm import SVC
  
      # Train the SVM classifier
      clf = SVC()
      clf.fit(data, labels)
      
      # Predict the class for the input data
      prediction = clf.predict([input_data])
      
      return prediction[0]