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: Silné zaujetí pro postavu charakterizuje také Radka Holuba v roli dojemně okouzleného Romea, Kamila Halbicha jako intelektuálně založeného Merkucia i některé další, především mladé představitele, jejichž plné nasazení dává celé inscenaci švih a napětí.
Position	Tokenization	UPOS	Head	Deprel
1	Silné	ADJ	2	amod
2	zaujetí	NOUN	5	nsubj
3	pro	ADP	4	case
4	postavu	NOUN	2	nmod
5	charakterizuje	VERB	0	root
6	také	ADV	5	advmod
7	Radka	PROPN	5	obj
8	Holuba	PROPN	7	flat
9	v	ADP	10	case
10	roli	NOUN	7	nmod
11	dojemně	ADV	12	advmod
12	okouzleného	ADJ	13	amod
13	Romea	PROPN	10	nmod
14	,	PUNCT	15	punct
15	Kamila	PROPN	7	conj
16	Halbicha	PROPN	15	flat
17	jako	SCONJ	20	mark
18	intelektuálně	ADV	19	advmod
19	založeného	ADJ	20	amod
20	Merkucia	PROPN	15	xcomp
21	i	CCONJ	27	cc
22	některé	DET	27	det
23	další	ADJ	27	amod
24	,	PUNCT	26	punct
25	především	ADV	26	advmod:emph
26	mladé	ADJ	27	amod
27	představitele	NOUN	7	conj
28	,	PUNCT	32	punct
29	jejichž	DET	31	det
30	plné	ADJ	31	amod
31	nasazení	NOUN	32	nsubj
32	dává	VERB	27	acl:relcl
33	celé	ADJ	34	amod
34	inscenaci	NOUN	32	obl:arg
35	švih	NOUN	32	obj
36	a	CCONJ	37	cc
37	napětí	NOUN	35	conj
38	.	PUNCT	5	punct