<｜begin▁of▁sentence｜>### Instruction:
Imagine you're guiding a group of young individuals in a team-building exercise where they're learning about the structure of decision-making within a hierarchy. In this scenario, they've created a conceptual "family tree" of decisions that starts with the root decision at the top and branches out to subsequent choices. 

The tree they've designed is currently represented by a set of connections between various choices, outlined as follows: (0, 3), (1, 3), (2, 3), (3, 4), and (4, 5). Now, they're interested in transforming this visual representation into a more compact form, which in our case is known as a Prüfer sequence – a method used in combinatorics to encode a labeled tree.

Their goal is to use this sequence to understand the tree's hierarchy without the need for a visual diagram. How would one go about computing this Prüfer sequence using the NetworkX software, assuming this tree structure has been inputted into the system?
### Response:
import networkx as nx

# Create a tree
edges = [(0, 3), (1, 3), (2, 3), (3, 4), (4, 5)]
tree = nx.Graph(edges)

# Convert the tree to a Prüfer sequence
sequence = nx.to_prufer_sequence(tree)
print(sequence)
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