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 text: V prohlášení Bílého domu se uvádí, že Tibet stojí v popředí zájmu USA v souvislosti s otázkou lidských práv v Číně, jejichž zlepšením podmiňuje prezident Clinton obnovení doložky nejvyšších výhod Číně.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	prohlášení	NOUN	6	obl
3	Bílého	ADJ	4	amod
4	domu	NOUN	2	nmod
5	se	PRON	6	expl:pass
6	uvádí	VERB	0	root
7	,	PUNCT	10	punct
8	že	SCONJ	10	mark
9	Tibet	NOUN	10	nsubj
10	stojí	VERB	6	ccomp
11	v	ADP	12	case
12	popředí	NOUN	10	obl
13	zájmu	NOUN	12	nmod
14	USA	PROPN	13	nmod
15	v	ADP	18	case
16	souvislosti	NOUN	15	fixed
17	s	ADP	15	fixed
18	otázkou	NOUN	10	obl
19	lidských	ADJ	20	amod
20	práv	NOUN	18	nmod
21	v	ADP	22	case
22	Číně	PROPN	20	nmod
23	,	PUNCT	26	punct
24	jejichž	DET	25	det
25	zlepšením	NOUN	26	obl:arg
26	podmiňuje	VERB	20	acl:relcl
27	prezident	NOUN	26	nsubj
28	Clinton	PROPN	27	flat
29	obnovení	NOUN	26	obj
30	doložky	NOUN	29	nmod
31	nejvyšších	ADJ	32	amod
32	výhod	NOUN	30	nmod
33	Číně	PROPN	29	nmod
34	.	PUNCT	6	punct