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:
When she was spayed the vet had a hard time because she only has one uterine horn and he said this could mean she only has on kidney.
Postion	Tokenization
1	When
2	she
3	was
4	spayed
5	the
6	vet
7	had
8	a
9	hard
10	time
11	because
12	she
13	only
14	has
15	one
16	uterine
17	horn
18	and
19	he
20	said
21	this
22	could
23	mean
24	she
25	only
26	has
27	on
28	kidney
29	.
Position	Tokenization	UPOS	Head	Deprel
1	When	SCONJ	4	mark
2	she	PRON	4	nsubj:pass
3	was	AUX	4	aux:pass
4	spayed	VERB	7	advcl
5	the	DET	6	det
6	vet	NOUN	7	nsubj
7	had	VERB	0	root
8	a	DET	10	det
9	hard	ADJ	10	amod
10	time	NOUN	7	obj
11	because	SCONJ	14	mark
12	she	PRON	14	nsubj
13	only	ADV	14	advmod
14	has	VERB	7	advcl
15	one	NUM	17	nummod
16	uterine	NOUN	17	compound
17	horn	NOUN	14	obj
18	and	CCONJ	20	cc
19	he	PRON	20	nsubj
20	said	VERB	7	conj
21	this	PRON	23	nsubj
22	could	AUX	23	aux
23	mean	VERB	20	ccomp
24	she	PRON	26	nsubj
25	only	ADV	26	advmod
26	has	VERB	23	ccomp
27	on	NUM	28	nummod
28	kidney	NOUN	26	obj
29	.	PUNCT	7	punct