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:
Given the chance your cat may only have one kidney, I would think the worst case scenario would be kidney disease, which untreated can lead to possible renal failure.
Postion	Tokenization
1	Given
2	the
3	chance
4	your
5	cat
6	may
7	only
8	have
9	one
10	kidney
11	,
12	I
13	would
14	think
15	the
16	worst
17	case
18	scenario
19	would
20	be
21	kidney
22	disease
23	,
24	which
25	untreated
26	can
27	lead
28	to
29	possible
30	renal
31	failure
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Given	VERB	3	case
2	the	DET	3	det
3	chance	NOUN	14	obl
4	your	PRON	5	nmod:poss
5	cat	NOUN	8	nsubj
6	may	AUX	8	aux
7	only	ADV	8	advmod
8	have	VERB	3	acl:relcl
9	one	NUM	10	nummod
10	kidney	NOUN	8	obj
11	,	PUNCT	14	punct
12	I	PRON	14	nsubj
13	would	AUX	14	aux
14	think	VERB	0	root
15	the	DET	18	det
16	worst	ADJ	17	amod
17	case	NOUN	18	compound
18	scenario	NOUN	22	nsubj
19	would	AUX	22	aux
20	be	AUX	22	cop
21	kidney	NOUN	22	compound
22	disease	NOUN	14	ccomp
23	,	PUNCT	22	punct
24	which	PRON	27	nsubj
25	untreated	ADJ	27	advmod
26	can	AUX	27	aux
27	lead	VERB	22	acl:relcl
28	to	ADP	31	case
29	possible	ADJ	31	amod
30	renal	ADJ	31	amod
31	failure	NOUN	27	obl
32	.	PUNCT	14	punct