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:
My vet even said it was not my fault it was the vet that did the surgery, So I would not recommend getting that program unless you have an extra hundred dollars or so for antibiotics and a vet visit.
Postion	Tokenization
1	My
2	vet
3	even
4	said
5	it
6	was
7	not
8	my
9	fault
10	it
11	was
12	the
13	vet
14	that
15	did
16	the
17	surgery
18	,
19	So
20	I
21	would
22	not
23	recommend
24	getting
25	that
26	program
27	unless
28	you
29	have
30	an
31	extra
32	hundred
33	dollars
34	or
35	so
36	for
37	antibiotics
38	and
39	a
40	vet
41	visit
42	.
Position	Tokenization	UPOS	Head	Deprel
1	My	PRON	2	nmod:poss
2	vet	NOUN	4	nsubj
3	even	ADV	4	advmod
4	said	VERB	0	root
5	it	PRON	9	nsubj
6	was	AUX	9	cop
7	not	PART	9	advmod
8	my	PRON	9	nmod:poss
9	fault	NOUN	4	ccomp
10	it	PRON	13	nsubj
11	was	AUX	13	cop
12	the	DET	13	det
13	vet	NOUN	9	parataxis
14	that	PRON	15	nsubj
15	did	VERB	13	acl:relcl
16	the	DET	17	det
17	surgery	NOUN	15	obj
18	,	PUNCT	4	punct
19	So	ADV	23	advmod
20	I	PRON	23	nsubj
21	would	AUX	23	aux
22	not	PART	23	advmod
23	recommend	VERB	4	advcl
24	getting	VERB	23	xcomp
25	that	DET	26	det
26	program	NOUN	24	obj
27	unless	SCONJ	29	mark
28	you	PRON	29	nsubj
29	have	VERB	23	advcl
30	an	DET	33	det
31	extra	ADJ	33	amod
32	hundred	NUM	33	nummod
33	dollars	NOUN	29	obj
34	or	CCONJ	35	cc
35	so	ADV	33	nummod
36	for	ADP	37	case
37	antibiotics	NOUN	33	nmod
38	and	CCONJ	41	cc
39	a	DET	41	det
40	vet	NOUN	41	compound
41	visit	NOUN	37	conj
42	.	PUNCT	4	punct