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:
With a Pizza Hut, IHOP, 3 Starbucks, Chilis, Panera, and Chipotle on campus ALONE, VCU has some of the best eating options for students.
Postion	Tokenization
1	With
2	a
3	Pizza
4	Hut
5	,
6	IHOP
7	,
8	3
9	Starbucks
10	,
11	Chili
12	s
13	,
14	Panera
15	,
16	and
17	Chipotle
18	on
19	campus
20	ALONE
21	,
22	VCU
23	has
24	some
25	of
26	the
27	best
28	eating
29	options
30	for
31	students
32	.
Position	Tokenization	UPOS	Head	Deprel
1	With	ADP	19	mark
2	a	DET	4	det
3	Pizza	PROPN	4	compound
4	Hut	PROPN	19	nsubj
5	,	PUNCT	6	punct
6	IHOP	PROPN	4	conj
7	,	PUNCT	9	punct
8	3	NUM	9	nummod
9	Starbucks	PROPN	4	conj
10	,	PUNCT	11	punct
11	Chili	PROPN	4	conj
12	s	PART	11	case
13	,	PUNCT	14	punct
14	Panera	PROPN	4	conj
15	,	PUNCT	17	punct
16	and	CCONJ	17	cc
17	Chipotle	PROPN	4	conj
18	on	ADP	19	case
19	campus	NOUN	23	advcl
20	ALONE	ADV	19	advmod
21	,	PUNCT	23	punct
22	VCU	PROPN	23	nsubj
23	has	VERB	0	root
24	some	DET	23	obj
25	of	ADP	29	case
26	the	DET	29	det
27	best	ADJ	29	amod
28	eating	NOUN	29	compound
29	options	NOUN	24	nmod
30	for	ADP	31	case
31	students	NOUN	29	nmod
32	.	PUNCT	23	punct