As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
It is right on the hustle and bustle of Wisconsin Ave but some might miss it as it is nestled in between Subway Sandwiches and Modell's.
Postion	Tokenization
1	It
2	is
3	right
4	on
5	the
6	hustle
7	and
8	bustle
9	of
10	Wisconsin
11	Ave
12	but
13	some
14	might
15	miss
16	it
17	as
18	it
19	is
20	nestled
21	in
22	between
23	Subway
24	Sandwiches
25	and
26	Modell
27	's
28	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	6	nsubj
2	is	AUX	6	cop
3	right	ADV	6	advmod
4	on	ADP	6	case
5	the	DET	6	det
6	hustle	NOUN	0	root
7	and	CCONJ	8	cc
8	bustle	NOUN	6	conj
9	of	ADP	11	case
10	Wisconsin	PROPN	11	compound
11	Ave	PROPN	6	nmod
12	but	CCONJ	15	cc
13	some	DET	15	nsubj
14	might	AUX	15	aux
15	miss	VERB	6	conj
16	it	PRON	15	obj
17	as	SCONJ	20	mark
18	it	PRON	20	nsubj:pass
19	is	AUX	20	aux:pass
20	nestled	VERB	15	advcl
21	in	ADP	24	case
22	between	ADP	21	fixed
23	Subway	PROPN	24	compound
24	Sandwiches	PROPN	20	obl
25	and	CCONJ	26	cc
26	Modell	PROPN	24	conj
27	's	PART	26	case
28	.	PUNCT	6	punct