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:
Ve snaze co nejlépe posoudit kvality vyžadoval od dívek, aby před ním obnažovaly své poprsí, případně aby mu stály modelem k fotografickým aktům.
Postion	Tokenization
1	Ve
2	snaze
3	co
4	nejlépe
5	posoudit
6	kvality
7	vyžadoval
8	od
9	dívek
10	,
11	aby
12	aby
13	by
14	před
15	ním
16	obnažovaly
17	své
18	poprsí
19	,
20	případně
21	aby
22	aby
23	by
24	mu
25	stály
26	modelem
27	k
28	fotografickým
29	aktům
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Ve	ADP	2	case
2	snaze	NOUN	7	obl
3	co	ADV	4	advmod
4	nejlépe	ADV	5	advmod
5	posoudit	VERB	2	acl
6	kvality	NOUN	5	obj
7	vyžadoval	VERB	0	root
8	od	ADP	9	case
9	dívek	NOUN	7	obl:arg
10	,	PUNCT	15	punct
11	aby	_	None	_
12	aby	SCONJ	15	mark
13	by	AUX	15	aux
14	před	ADP	14	case
15	ním	PRON	15	obl
16	obnažovaly	VERB	7	ccomp
17	své	DET	17	det
18	poprsí	NOUN	15	obj
19	,	PUNCT	23	punct
20	případně	ADV	23	cc
21	aby	_	None	_
22	aby	SCONJ	23	mark
23	by	AUX	23	aux
24	mu	PRON	23	obl:arg
25	stály	VERB	15	conj
26	modelem	NOUN	23	obl
27	k	ADP	27	case
28	fotografickým	ADJ	27	amod
29	aktům	NOUN	24	nmod
30	.	PUNCT	7	punct