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: Režisér Brian Levant (známý jako autor prvního dílu bernardýní veselohry Beethoven) rozehrál dvojrozměrný komiks (původní seriál se dočkal 166 pokračování a vysílal se do roku 1966) do vděčné rodinné podívané, svědčící o nedostižných technických možnostech současného Hollywoodu.
Position	Tokenization	UPOS	Head	Deprel
1	Režisér	NOUN	14	nsubj
2	Brian	PROPN	1	flat
3	Levant	PROPN	1	flat
4	(	PUNCT	5	punct
5	známý	ADJ	1	amod
6	jako	SCONJ	7	mark
7	autor	NOUN	5	xcomp
8	prvního	ADJ	9	amod
9	dílu	NOUN	7	nmod
10	bernardýní	ADJ	11	amod
11	veselohry	NOUN	9	nmod
12	Beethoven	PROPN	11	nmod
13	)	PUNCT	5	punct
14	rozehrál	VERB	0	root
15	dvojrozměrný	ADJ	16	amod
16	komiks	NOUN	14	obj
17	(	PUNCT	21	punct
18	původní	ADJ	19	amod
19	seriál	NOUN	21	nsubj
20	se	PRON	21	expl:pv
21	dočkal	VERB	14	parataxis
22	166	NUM	23	nummod
23	pokračování	NOUN	21	obl:arg
24	a	CCONJ	25	cc
25	vysílal	VERB	21	conj
26	se	PRON	25	expl:pass
27	do	ADP	28	case
28	roku	NOUN	25	obl
29	1966	NUM	28	nummod
30	)	PUNCT	21	punct
31	do	ADP	34	case
32	vděčné	ADJ	34	amod
33	rodinné	ADJ	34	amod
34	podívané	NOUN	14	obl
35	,	PUNCT	36	punct
36	svědčící	ADJ	34	amod
37	o	ADP	40	case
38	nedostižných	ADJ	40	amod
39	technických	ADJ	40	amod
40	možnostech	NOUN	36	obl:arg
41	současného	ADJ	42	amod
42	Hollywoodu	PROPN	40	nmod
43	.	PUNCT	14	punct