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:
I was already a vegetarian when I read it a little more than a year ago, but it was one of the bigger factors for me in going completely vegan.
Postion	Tokenization
1	I
2	was
3	already
4	a
5	vegetarian
6	when
7	I
8	read
9	it
10	a
11	little
12	more
13	than
14	a
15	year
16	ago
17	,
18	but
19	it
20	was
21	one
22	of
23	the
24	bigger
25	factors
26	for
27	me
28	in
29	going
30	completely
31	vegan
32	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	5	nsubj
2	was	AUX	5	cop
3	already	ADV	5	advmod
4	a	DET	5	det
5	vegetarian	NOUN	0	root
6	when	SCONJ	8	mark
7	I	PRON	8	nsubj
8	read	VERB	5	advcl
9	it	PRON	8	obj
10	a	DET	11	det
11	little	ADJ	12	obl
12	more	ADJ	15	advmod
13	than	ADP	12	fixed
14	a	DET	15	det
15	year	NOUN	16	obl:npmod
16	ago	ADV	8	advmod
17	,	PUNCT	21	punct
18	but	CCONJ	21	cc
19	it	PRON	21	nsubj
20	was	AUX	21	cop
21	one	NUM	5	conj
22	of	ADP	25	case
23	the	DET	25	det
24	bigger	ADJ	25	amod
25	factors	NOUN	21	nmod
26	for	ADP	27	case
27	me	PRON	25	nmod
28	in	SCONJ	29	mark
29	going	VERB	25	acl
30	completely	ADV	31	advmod
31	vegan	ADJ	29	xcomp
32	.	PUNCT	5	punct