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:
Zcela naopak propadly soutěžní filmy slavných tvůrců - příslušníka francouzské nové vlny Alaina Robbe-Grilleta (Modrá vila) či italského skandalisty Abela Ferrary (Dodatek).
Postion	Tokenization
1	Zcela
2	naopak
3	propadly
4	soutěžní
5	filmy
6	slavných
7	tvůrců
8	-
9	příslušníka
10	francouzské
11	nové
12	vlny
13	Alaina
14	Robbe
15	-
16	Grilleta
17	(
18	Modrá
19	vila
20	)
21	či
22	italského
23	skandalisty
24	Abela
25	Ferrary
26	(
27	Dodatek
28	)
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Zcela	ADV	2	advmod:emph
2	naopak	ADV	3	advmod
3	propadly	VERB	0	root
4	soutěžní	ADJ	5	amod
5	filmy	NOUN	3	nsubj
6	slavných	ADJ	7	amod
7	tvůrců	NOUN	5	nmod
8	-	PUNCT	9	punct
9	příslušníka	NOUN	7	appos
10	francouzské	ADJ	12	amod
11	nové	ADJ	12	amod
12	vlny	NOUN	9	nmod
13	Alaina	PROPN	9	flat
14	Robbe	PROPN	9	flat
15	-	PUNCT	14	punct
16	Grilleta	PROPN	9	flat
17	(	PUNCT	9	punct
18	Modrá	ADJ	19	amod
19	vila	NOUN	9	dep
20	)	PUNCT	9	punct
21	či	CCONJ	23	cc
22	italského	ADJ	23	amod
23	skandalisty	NOUN	9	conj
24	Abela	PROPN	23	flat
25	Ferrary	PROPN	23	flat
26	(	PUNCT	23	punct
27	Dodatek	NOUN	23	dep
28	)	PUNCT	23	punct
29	.	PUNCT	3	punct