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:
Režisér Robert Altman o nich v roce 1970 natočil celovečerní černou komedii, která zaznamenala kasovní úspěch a přinesla svému tvůrci i uznání kritiky.
Postion	Tokenization
1	Režisér
2	Robert
3	Altman
4	o
5	nich
6	v
7	roce
8	1970
9	natočil
10	celovečerní
11	černou
12	komedii
13	,
14	která
15	zaznamenala
16	kasovní
17	úspěch
18	a
19	přinesla
20	svému
21	tvůrci
22	i
23	uznání
24	kritiky
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Režisér	NOUN	9	nsubj
2	Robert	PROPN	1	flat
3	Altman	PROPN	1	flat
4	o	ADP	5	case
5	nich	PRON	9	obl:arg
6	v	ADP	7	case
7	roce	NOUN	9	obl
8	1970	NUM	7	nummod
9	natočil	VERB	0	root
10	celovečerní	ADJ	12	amod
11	černou	ADJ	12	amod
12	komedii	NOUN	9	obj
13	,	PUNCT	15	punct
14	která	DET	15	nsubj
15	zaznamenala	VERB	12	acl:relcl
16	kasovní	ADJ	17	amod
17	úspěch	NOUN	15	obj
18	a	CCONJ	19	cc
19	přinesla	VERB	15	conj
20	svému	DET	21	det
21	tvůrci	NOUN	19	obl:arg
22	i	CCONJ	23	advmod:emph
23	uznání	NOUN	19	obj
24	kritiky	NOUN	23	nmod
25	.	PUNCT	9	punct