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: De Bontův snímek dokazuje, že žánr akčního filmu může skýtat potěšení nejen milovníkům pimprlových morytátů, ale i filmařským gurmánům, nerezignujícím na možnost jít se občas do kina pestře rozhýbanými obrázky pouze bavit.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	2	nmod
2	Bontův	ADJ	3	amod
3	snímek	NOUN	4	nsubj
4	dokazuje	VERB	0	root
5	,	PUNCT	10	punct
6	že	SCONJ	10	mark
7	žánr	NOUN	10	nsubj
8	akčního	ADJ	9	amod
9	filmu	NOUN	7	nmod
10	může	VERB	4	ccomp
11	skýtat	VERB	10	xcomp
12	potěšení	NOUN	11	obj
13	nejen	PART	14	advmod:emph
14	milovníkům	NOUN	11	obl:arg
15	pimprlových	ADJ	16	amod
16	morytátů	NOUN	14	nmod
17	,	PUNCT	21	punct
18	ale	CCONJ	21	cc
19	i	CCONJ	21	advmod:emph
20	filmařským	ADJ	21	amod
21	gurmánům	NOUN	14	conj
22	,	PUNCT	23	punct
23	nerezignujícím	ADJ	21	amod
24	na	ADP	25	case
25	možnost	NOUN	23	obl:arg
26	jít	VERB	25	acl
27	se	PRON	35	expl:pv
28	občas	ADV	26	advmod
29	do	ADP	30	case
30	kina	NOUN	26	obl
31	pestře	ADV	32	advmod
32	rozhýbanými	ADJ	33	amod
33	obrázky	NOUN	35	obl
34	pouze	ADV	35	advmod:emph
35	bavit	VERB	26	advcl
36	.	PUNCT	4	punct