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:
Winter defied his own board and Gov. Gray Davis when he filed a 50-page request to remove the caps, records and interviews show.
Postion	Tokenization
1	Winter
2	defied
3	his
4	own
5	board
6	and
7	Gov.
8	Gray
9	Davis
10	when
11	he
12	filed
13	a
14	50
15	-
16	page
17	request
18	to
19	remove
20	the
21	caps
22	,
23	records
24	and
25	interviews
26	show
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Winter	PROPN	2	nsubj
2	defied	VERB	26	ccomp
3	his	PRON	5	nmod:poss
4	own	ADJ	5	amod
5	board	NOUN	2	obj
6	and	CCONJ	7	cc
7	Gov.	PROPN	5	conj
8	Gray	PROPN	7	flat
9	Davis	PROPN	7	flat
10	when	SCONJ	12	mark
11	he	PRON	12	nsubj
12	filed	VERB	2	advcl
13	a	DET	17	det
14	50	NUM	16	nummod
15	-	PUNCT	16	punct
16	page	NOUN	17	compound
17	request	NOUN	12	obj
18	to	PART	19	mark
19	remove	VERB	17	acl
20	the	DET	21	det
21	caps	NOUN	19	obj
22	,	PUNCT	26	punct
23	records	NOUN	26	nsubj
24	and	CCONJ	25	cc
25	interviews	NOUN	23	conj
26	show	VERB	0	root
27	.	PUNCT	26	punct