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:
Při řádném provozování nejstaršího řemesla prostitutky riskují jen pokuty za provokativní postoje, které nepřesahují 200 franků (asi 1000 Kč) a slouží spíše k odrazování prostitutek od některých míst.
Postion	Tokenization
1	Při
2	řádném
3	provozování
4	nejstaršího
5	řemesla
6	prostitutky
7	riskují
8	jen
9	pokuty
10	za
11	provokativní
12	postoje
13	,
14	které
15	nepřesahují
16	200
17	franků
18	(
19	asi
20	1000
21	Kč
22	)
23	a
24	slouží
25	spíše
26	k
27	odrazování
28	prostitutek
29	od
30	některých
31	míst
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Při	ADP	3	case
2	řádném	ADJ	3	amod
3	provozování	NOUN	7	obl
4	nejstaršího	ADJ	5	amod
5	řemesla	NOUN	3	nmod
6	prostitutky	NOUN	5	nmod
7	riskují	VERB	0	root
8	jen	PART	9	advmod:emph
9	pokuty	NOUN	7	obj
10	za	ADP	12	case
11	provokativní	ADJ	12	amod
12	postoje	NOUN	9	nmod
13	,	PUNCT	15	punct
14	které	DET	15	nsubj
15	nepřesahují	VERB	9	acl:relcl
16	200	NUM	17	nummod:gov
17	franků	NOUN	15	obj
18	(	PUNCT	20	punct
19	asi	PART	20	advmod:emph
20	1000	NUM	16	compound
21	Kč	NOUN	20	nmod
22	)	PUNCT	20	punct
23	a	CCONJ	24	cc
24	slouží	VERB	7	conj
25	spíše	ADV	24	advmod
26	k	ADP	27	case
27	odrazování	NOUN	24	obl:arg
28	prostitutek	NOUN	27	nmod
29	od	ADP	31	case
30	některých	DET	31	det
31	míst	NOUN	27	nmod
32	.	PUNCT	7	punct