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 dotaz, zda se to týká případných materiálních otázek, odpověděl, že v duchu Havlova projevu má především na mysli intenzívní česko-německý dialog i dialogy uvnitř české a německé komunity.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	dotaz	NOUN	12	obl:arg
3	,	PUNCT	7	punct
4	zda	SCONJ	7	mark
5	se	PRON	7	expl:pv
6	to	DET	7	nsubj
7	týká	VERB	2	acl
8	případných	ADJ	10	amod
9	materiálních	ADJ	10	amod
10	otázek	NOUN	7	obl:arg
11	,	PUNCT	7	punct
12	odpověděl	VERB	0	root
13	,	PUNCT	19	punct
14	že	SCONJ	19	mark
15	v	ADP	18	case
16	duchu	NOUN	15	fixed
17	Havlova	ADJ	18	amod
18	projevu	NOUN	19	obl
19	má	VERB	12	ccomp
20	především	ADV	19	advmod:emph
21	na	ADP	22	case
22	mysli	NOUN	19	obl:arg
23	intenzívní	ADJ	27	amod
24	česko	ADJ	27	amod
25	-	PUNCT	26	punct
26	německý	ADJ	24	conj
27	dialog	NOUN	19	obj
28	i	CCONJ	29	cc
29	dialogy	NOUN	27	conj
30	uvnitř	ADV	34	case
31	české	ADJ	34	amod
32	a	CCONJ	33	cc
33	německé	ADJ	31	conj
34	komunity	NOUN	29	nmod
35	.	PUNCT	12	punct