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: Náměstek amerického ministra zahraničních věcí Strobe Talbott, který byl minulý měsíc na návštěvě v Kambodži, prohlásil, že USA jsou ochotny uvažovat o vojenské pomoci kambodžské armádě ve formě zbraní v jejím boji proti Rudým Khmerům.
Position	Tokenization	UPOS	Head	Deprel
1	Náměstek	NOUN	18	nsubj
2	amerického	ADJ	3	amod
3	ministra	NOUN	1	nmod
4	zahraničních	ADJ	5	amod
5	věcí	NOUN	3	nmod
6	Strobe	PROPN	1	flat
7	Talbott	PROPN	1	flat
8	,	PUNCT	10	punct
9	který	DET	10	nsubj
10	byl	VERB	1	acl:relcl
11	minulý	ADJ	12	amod
12	měsíc	NOUN	10	obl
13	na	ADP	14	case
14	návštěvě	NOUN	10	obl
15	v	ADP	16	case
16	Kambodži	PROPN	14	nmod
17	,	PUNCT	10	punct
18	prohlásil	VERB	0	root
19	,	PUNCT	23	punct
20	že	SCONJ	23	mark
21	USA	PROPN	23	nsubj
22	jsou	AUX	23	cop
23	ochotny	ADJ	18	ccomp
24	uvažovat	VERB	23	xcomp
25	o	ADP	27	case
26	vojenské	ADJ	27	amod
27	pomoci	NOUN	24	obl:arg
28	kambodžské	ADJ	29	amod
29	armádě	NOUN	27	nmod
30	ve	ADP	32	case
31	formě	NOUN	30	fixed
32	zbraní	NOUN	27	nmod
33	v	ADP	35	case
34	jejím	DET	35	det
35	boji	NOUN	27	nmod
36	proti	ADP	38	case
37	Rudým	ADJ	38	amod
38	Khmerům	NOUN	35	nmod
39	.	PUNCT	18	punct