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: Často v nich objevíme prvky černého humoru - televizní cyklus nabízí hned několik takových ukázek: Nevěrnou ženu, Řezníka, Doktora Popaula, ale nechybí ani věrohodně pojednané drama zoufalého otce, jenž hledá viníka osudové silniční nehody, ve filmu Bestie musí zemřít.
Position	Tokenization	UPOS	Head	Deprel
1	Často	ADV	4	advmod
2	v	ADP	3	case
3	nich	PRON	4	obl
4	objevíme	VERB	0	root
5	prvky	NOUN	4	obj
6	černého	ADJ	7	amod
7	humoru	NOUN	5	nmod
8	-	PUNCT	11	punct
9	televizní	ADJ	10	amod
10	cyklus	NOUN	11	nsubj
11	nabízí	VERB	4	conj
12	hned	ADV	13	advmod:emph
13	několik	DET	15	det:numgov
14	takových	DET	15	det
15	ukázek	NOUN	11	obj
16	:	PUNCT	18	punct
17	Nevěrnou	ADJ	18	amod
18	ženu	NOUN	13	appos
19	,	PUNCT	20	punct
20	Řezníka	NOUN	18	conj
21	,	PUNCT	22	punct
22	Doktora	NOUN	18	conj
23	Popaula	PROPN	22	nmod
24	,	PUNCT	26	punct
25	ale	CCONJ	26	cc
26	nechybí	VERB	11	conj
27	ani	CCONJ	30	advmod:emph
28	věrohodně	ADV	29	advmod
29	pojednané	ADJ	30	amod
30	drama	NOUN	26	nsubj
31	zoufalého	ADJ	32	amod
32	otce	NOUN	30	nmod
33	,	PUNCT	35	punct
34	jenž	PRON	35	nsubj
35	hledá	VERB	32	acl:relcl
36	viníka	NOUN	35	obj
37	osudové	ADJ	39	amod
38	silniční	ADJ	39	amod
39	nehody	NOUN	36	nmod
40	,	PUNCT	35	punct
41	ve	ADP	42	case
42	filmu	NOUN	30	nmod
43	Bestie	NOUN	44	nsubj
44	musí	VERB	42	acl
45	zemřít	VERB	44	xcomp
46	.	PUNCT	4	punct