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: Zhruba se dá říci, že za vyčištění čtverečního centimetru pražský Ústav kosmetiky účtuje sto korun, takže zbavit se průměrného tetování vyjde asi na tři tisíce, záleží na velikosti broušené plochy.
Position	Tokenization	UPOS	Head	Deprel
1	Zhruba	ADV	3	advmod
2	se	PRON	3	expl:pass
3	dá	VERB	0	root
4	říci	VERB	3	xcomp
5	,	PUNCT	14	punct
6	že	SCONJ	14	mark
7	za	ADP	8	case
8	vyčištění	NOUN	14	obl:arg
9	čtverečního	ADJ	10	amod
10	centimetru	NOUN	8	nmod
11	pražský	ADJ	12	amod
12	Ústav	NOUN	14	nsubj
13	kosmetiky	NOUN	12	nmod
14	účtuje	VERB	3	csubj:pass
15	sto	NOUN	14	obj
16	korun	NOUN	15	nmod
17	,	PUNCT	23	punct
18	takže	SCONJ	23	mark
19	zbavit	VERB	23	csubj
20	se	PRON	19	expl:pv
21	průměrného	ADJ	22	amod
22	tetování	NOUN	19	obl:arg
23	vyjde	VERB	3	advcl
24	asi	PART	27	advmod:emph
25	na	ADP	27	case
26	tři	NUM	27	nummod
27	tisíce	NOUN	23	obl
28	,	PUNCT	29	punct
29	záleží	VERB	23	conj
30	na	ADP	31	case
31	velikosti	NOUN	29	obl:arg
32	broušené	ADJ	33	amod
33	plochy	NOUN	31	nmod
34	.	PUNCT	3	punct