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: Americký ministr obchodu Ronald Brown, který je na týdenní návštěvě v Číně s cílem zlepšit obchodní vztahy, však uvedl, že zbývající sankce zavedené po brutálním potlačení demonstrací za demokracii na pekingském náměstí Tchien-an-men v roce 1989 Spojené státy zrušit nehodlají.
Position	Tokenization	UPOS	Head	Deprel
1	Americký	ADJ	2	amod
2	ministr	NOUN	21	nsubj
3	obchodu	NOUN	2	nmod
4	Ronald	PROPN	2	flat
5	Brown	PROPN	2	flat
6	,	PUNCT	8	punct
7	který	DET	8	nsubj
8	je	VERB	2	acl:relcl
9	na	ADP	11	case
10	týdenní	ADJ	11	amod
11	návštěvě	NOUN	8	obl
12	v	ADP	13	case
13	Číně	PROPN	8	obl
14	s	ADP	15	case
15	cílem	NOUN	8	obl
16	zlepšit	VERB	15	acl
17	obchodní	ADJ	18	amod
18	vztahy	NOUN	16	obj
19	,	PUNCT	8	punct
20	však	CCONJ	21	cc
21	uvedl	VERB	0	root
22	,	PUNCT	47	punct
23	že	SCONJ	47	mark
24	zbývající	ADJ	25	amod
25	sankce	NOUN	46	obj
26	zavedené	ADJ	25	amod
27	po	ADP	29	case
28	brutálním	ADJ	29	amod
29	potlačení	NOUN	26	obl
30	demonstrací	NOUN	29	nmod
31	za	ADP	32	case
32	demokracii	NOUN	30	nmod
33	na	ADP	35	case
34	pekingském	ADJ	35	amod
35	náměstí	NOUN	30	nmod
36	Tchien	PROPN	40	nmod
37	-	PUNCT	36	punct
38	an	PROPN	40	nmod
39	-	PUNCT	38	punct
40	men	PROPN	35	nmod
41	v	ADP	42	case
42	roce	NOUN	30	nmod
43	1989	NUM	42	nummod
44	Spojené	ADJ	45	amod
45	státy	NOUN	47	nsubj
46	zrušit	VERB	47	xcomp
47	nehodlají	VERB	21	ccomp
48	.	PUNCT	21	punct