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: Rutger Hauer jako "polda" s postavou Arnolda Schwarzeneggera slouží pouze k tomu, aby s vzorně umytými vlasy a hladkou tvářičkou putoval zavšiveným podkrovím, lehal si doprostřed krví zbrocených záchodků, popřípadě navštěvoval policejní márnice a jiná veselá místa.
Position	Tokenization	UPOS	Head	Deprel
1	Rutger	PROPN	11	nsubj
2	Hauer	PROPN	1	flat
3	jako	SCONJ	5	mark
4	"	PUNCT	5	punct
5	polda	NOUN	1	xcomp
6	"	PUNCT	5	punct
7	s	ADP	8	case
8	postavou	NOUN	1	nmod
9	Arnolda	PROPN	8	nmod
10	Schwarzeneggera	PROPN	9	flat
11	slouží	VERB	0	root
12	pouze	ADV	14	advmod:emph
13	k	ADP	14	case
14	tomu	DET	11	obl:arg
15	,	PUNCT	25	punct
16	aby	_	None	_
17	aby	SCONJ	25	mark
18	by	AUX	25	aux
19	s	ADP	21	case
20	vzorně	ADV	20	advmod
21	umytými	ADJ	21	amod
22	vlasy	NOUN	25	obl
23	a	CCONJ	24	cc
24	hladkou	ADJ	24	amod
25	tvářičkou	NOUN	21	conj
26	putoval	VERB	14	acl
27	zavšiveným	ADJ	27	amod
28	podkrovím	NOUN	25	obl
29	,	PUNCT	29	punct
30	lehal	VERB	25	conj
31	si	PRON	29	expl:pv
32	doprostřed	ADV	34	case
33	krví	NOUN	33	obl
34	zbrocených	ADJ	34	amod
35	záchodků	NOUN	29	obl
36	,	PUNCT	37	punct
37	popřípadě	ADV	37	cc
38	navštěvoval	VERB	25	conj
39	policejní	ADJ	39	amod
40	márnice	NOUN	37	obj
41	a	CCONJ	43	cc
42	jiná	ADJ	43	amod
43	veselá	ADJ	43	amod
44	místa	NOUN	39	conj
45	.	PUNCT	11	punct