<｜begin▁of▁sentence｜>### Instruction:
Given a graph whose edge set is [('A', 'B'), ('B', 'C'), ('C', 'A'), ('D', 'E')], can you use the make_clique_bipartite function to create its corresponding bipartite clique graph, including node positions, using NetworkX?
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()
G.add_edges_from([('A', 'B'), ('B', 'C'), ('C', 'A'), ('D', 'E')])

# Generate the bipartite clique graph
B = nx.make_clique_bipartite(G, fpos=True, create_using=nx.Graph)

# Print the edges of the bipartite graph
print(B.edges())

# Print the positions of the nodes if fpos is True
if 'pos' in B.graph:
    print('Positions:', B.graph['pos'])
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