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:
Decaeova kamera měla velký podíl na sugestivním vyznění příběhu, neboť přesně charakterizovala prostředí i jednotlivé protagonisty a postupně dospívala k metaforickému zevšeobecnění, v souladu s režijním záměrem.
Postion	Tokenization
1	Decaeova
2	kamera
3	měla
4	velký
5	podíl
6	na
7	sugestivním
8	vyznění
9	příběhu
10	,
11	neboť
12	přesně
13	charakterizovala
14	prostředí
15	i
16	jednotlivé
17	protagonisty
18	a
19	postupně
20	dospívala
21	k
22	metaforickému
23	zevšeobecnění
24	,
25	v
26	souladu
27	s
28	režijním
29	záměrem
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Decaeova	ADJ	2	amod
2	kamera	NOUN	3	nsubj
3	měla	VERB	0	root
4	velký	ADJ	5	amod
5	podíl	NOUN	3	obj
6	na	ADP	8	case
7	sugestivním	ADJ	8	amod
8	vyznění	NOUN	5	nmod
9	příběhu	NOUN	8	nmod
10	,	PUNCT	13	punct
11	neboť	CCONJ	13	cc
12	přesně	ADV	13	advmod
13	charakterizovala	VERB	3	conj
14	prostředí	NOUN	13	obj
15	i	CCONJ	17	cc
16	jednotlivé	ADJ	17	amod
17	protagonisty	NOUN	14	conj
18	a	CCONJ	20	cc
19	postupně	ADV	20	advmod
20	dospívala	VERB	13	conj
21	k	ADP	23	case
22	metaforickému	ADJ	23	amod
23	zevšeobecnění	NOUN	20	obl
24	,	PUNCT	29	punct
25	v	ADP	29	case
26	souladu	NOUN	25	fixed
27	s	ADP	25	fixed
28	režijním	ADJ	29	amod
29	záměrem	NOUN	20	obl
30	.	PUNCT	3	punct