In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

Example Input: By the river, Blue Spice is located. It is an Italian restaurant with a medium price range.
Example Output: name[Blue Spice], food[Italian], priceRange[high], area[riverside]

Example Input: The Eagle serves Japanese food with a customer rating of 3 out of 5.
Example Output: name[The Eagle], food[Japanese], customer rating[3 out of 5]

Example Input: With prices starting at £0 for delicious Japanese food in a coffee shop environment, The Mill also boasts being close to The Sorrento
Example Output:
name[The Mill], eatType[coffee shop], food[Japanese], priceRange[more than £30], area[riverside], near[The Sorrento]