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: Trnka by rád znal odpověď i na otázku, zda náš stát počítá se změnou priorit zahraniční politiky USA, což by vzhledem k jejich roli v NATO mohlo vést k vynuceným krokům naší politiky, které by nemusely odpovídat zájmům ČR.
Position	Tokenization	UPOS	Head	Deprel
1	Trnka	PROPN	4	nsubj
2	by	AUX	4	aux
3	rád	ADJ	1	xcomp
4	znal	VERB	0	root
5	odpověď	NOUN	4	obj
6	i	CCONJ	8	advmod:emph
7	na	ADP	8	case
8	otázku	NOUN	5	nmod
9	,	PUNCT	13	punct
10	zda	SCONJ	13	mark
11	náš	DET	12	det
12	stát	NOUN	13	nsubj
13	počítá	VERB	8	acl
14	se	ADP	15	case
15	změnou	NOUN	13	obl:arg
16	priorit	NOUN	15	nmod
17	zahraniční	ADJ	18	amod
18	politiky	NOUN	16	nmod
19	USA	PROPN	18	nmod
20	,	PUNCT	29	punct
21	což	PRON	29	nsubj
22	by	AUX	29	aux
23	vzhledem	ADP	26	case
24	k	ADP	23	fixed
25	jejich	DET	26	det
26	roli	NOUN	29	obl
27	v	ADP	28	case
28	NATO	PROPN	26	nmod
29	mohlo	VERB	13	conj
30	vést	VERB	29	xcomp
31	k	ADP	33	case
32	vynuceným	ADJ	33	amod
33	krokům	NOUN	30	obl
34	naší	DET	35	det
35	politiky	NOUN	33	nmod
36	,	PUNCT	39	punct
37	které	DET	39	nsubj
38	by	AUX	39	aux
39	nemusely	VERB	33	acl:relcl
40	odpovídat	VERB	39	xcomp
41	zájmům	NOUN	40	obl:arg
42	ČR	PROPN	41	nmod
43	.	PUNCT	4	punct