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:
FILM SE NAUČIT NEDÁ, tvrdí v rozhovoru pravděpodobně největší ženský filmařský talent od dob Věry Chytilové - režisérka Irena Pavlásková *
Postion	Tokenization
1	FILM
2	SE
3	NAUČIT
4	NEDÁ
5	,
6	tvrdí
7	v
8	rozhovoru
9	pravděpodobně
10	největší
11	ženský
12	filmařský
13	talent
14	od
15	dob
16	Věry
17	Chytilové
18	-
19	režisérka
20	Irena
21	Pavlásková
22	*
Position	Tokenization	UPOS	Head	Deprel
1	FILM	NOUN	4	nsubj:pass
2	SE	PRON	4	expl:pass
3	NAUČIT	VERB	4	xcomp
4	NEDÁ	VERB	6	ccomp
5	,	PUNCT	4	punct
6	tvrdí	VERB	0	root
7	v	ADP	8	case
8	rozhovoru	NOUN	6	obl
9	pravděpodobně	ADV	10	advmod
10	největší	ADJ	13	amod
11	ženský	ADJ	13	amod
12	filmařský	ADJ	13	amod
13	talent	NOUN	6	nsubj
14	od	ADP	15	case
15	dob	NOUN	13	nmod
16	Věry	PROPN	15	nmod
17	Chytilové	PROPN	16	flat
18	-	PUNCT	19	punct
19	režisérka	NOUN	13	appos
20	Irena	PROPN	19	flat
21	Pavlásková	PROPN	19	flat
22	*	PUNCT	6	punct