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 tokenized text:
Petr Pavlovský si ovšem v úloze Jaga dokázal nalézt vlastní téma - pohybuje se v až groteskních polohách, je to cynický rouhač, který intrikuje s ďábelskou radostí.
Postion	Tokenization
1	Petr
2	Pavlovský
3	si
4	ovšem
5	v
6	úloze
7	Jaga
8	dokázal
9	nalézt
10	vlastní
11	téma
12	-
13	pohybuje
14	se
15	v
16	až
17	groteskních
18	polohách
19	,
20	je
21	to
22	cynický
23	rouhač
24	,
25	který
26	intrikuje
27	s
28	ďábelskou
29	radostí
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Petr	PROPN	8	nsubj
2	Pavlovský	PROPN	1	flat
3	si	PRON	9	obl
4	ovšem	CCONJ	8	cc
5	v	ADP	6	case
6	úloze	NOUN	8	obl
7	Jaga	PROPN	6	nmod
8	dokázal	VERB	0	root
9	nalézt	VERB	8	xcomp
10	vlastní	ADJ	11	amod
11	téma	NOUN	9	obj
12	-	PUNCT	13	punct
13	pohybuje	VERB	8	conj
14	se	PRON	13	expl:pv
15	v	ADP	18	case
16	až	PART	18	advmod:emph
17	groteskních	ADJ	18	amod
18	polohách	NOUN	13	obl
19	,	PUNCT	23	punct
20	je	AUX	23	cop
21	to	DET	23	nsubj
22	cynický	ADJ	23	amod
23	rouhač	NOUN	13	conj
24	,	PUNCT	26	punct
25	který	DET	26	nsubj
26	intrikuje	VERB	23	acl:relcl
27	s	ADP	29	case
28	ďábelskou	ADJ	29	amod
29	radostí	NOUN	26	obl
30	.	PUNCT	8	punct