Forcing tree to use some feature first

My goal it to force some feature used firstly to split tree. Below, the function spltted tree using feature_3 first. For instance, is there a way to force to use feature_2 first instead of feature_3 ?

from sklearn import datasets
from sklearn.tree import DecisionTreeClassifier
from sklearn import tree

iris = datasets.load_iris()
X = iris.data
y = iris.target
fit = DecisionTreeClassifier(max_leaf_nodes=3, random_state=0).fit(X,y)   
      

text_representation = tree.export_text(fit) 
print('Graph')
print(text_representation)
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