<｜begin▁of▁sentence｜>### Instruction:
Imagine you, as a diligent Health Inspector, are evaluating the procedural connections within two separate departments of a health facility. Department 'G' has established protocols represented by the connections (0, 1) and (0, 2), while department 'H' has a single protocol outlined by the connection (3, 4). To assess the inter-departmental collaboration, you need to create a comprehensive map reflecting a scenario in which every protocol from both departments could potentially interact with each other. 

In this map, the protocols of department 'G' should be distinctly marked with a 'G' prefix for each node (e.g., 'G0', 'G1', 'G2'), and similarly, the protocols in department 'H' should have an 'H' prefix (e.g., 'H3', 'H4'). This would require a model of a full cross-departmental engagement, where all protocols of 'G' and 'H' are considered to be fully interconnected. 

How can we construct such a diagram to visualize the potential maximum collaboration between all protocols of departments 'G' and 'H', with appropriate labeling for the dedicated protocols in our compliance reporting?
### Response:
import networkx as nx

# Create two graphs G and H
G = nx.Graph([(0, 1), (0, 2)])
H = nx.Graph([(3, 4)])

# Full join G and H
R = nx.full_join(G, H, rename=('G', 'H'))

# Print the nodes and edges of the resulting graph
print('Nodes in R:', R.nodes())
print('Edges in R:', R.edges())
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