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: Na otázku, jak vidí v této souvislosti možnost vzájemného zřeknutí se materiálních nároků, saský premiér odpověděl, že podle jeho názoru se prezident Havel zabýval spíše nemateriálními aspekty česko-německých vztahů.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	otázku	NOUN	18	obl:arg
3	,	PUNCT	5	punct
4	jak	ADV	5	advmod
5	vidí	VERB	2	acl
6	v	ADP	8	case
7	této	DET	8	det
8	souvislosti	NOUN	5	obl
9	možnost	NOUN	5	obj
10	vzájemného	ADJ	11	amod
11	zřeknutí	NOUN	9	nmod
12	se	PRON	11	nmod
13	materiálních	ADJ	14	amod
14	nároků	NOUN	11	nmod
15	,	PUNCT	5	punct
16	saský	ADJ	17	amod
17	premiér	NOUN	18	nsubj
18	odpověděl	VERB	0	root
19	,	PUNCT	27	punct
20	že	SCONJ	27	mark
21	podle	ADP	23	case
22	jeho	DET	23	det
23	názoru	NOUN	27	obl
24	se	PRON	27	expl:pv
25	prezident	NOUN	27	nsubj
26	Havel	PROPN	25	flat
27	zabýval	VERB	18	ccomp
28	spíše	ADV	27	advmod
29	nemateriálními	ADJ	30	amod
30	aspekty	NOUN	27	obl:arg
31	česko	ADJ	34	amod
32	-	PUNCT	33	punct
33	německých	ADJ	31	conj
34	vztahů	NOUN	30	nmod
35	.	PUNCT	18	punct