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:
Hru napsal slavný francouzský režisér Jérôme Savary (v současné době ředitel pařížského Théatre National de Chaillot) společně se scenáristou a textařem Jeanem-Loupem Dabadiem.
Postion	Tokenization
1	Hru
2	napsal
3	slavný
4	francouzský
5	režisér
6	Jérôme
7	Savary
8	(
9	v
10	současné
11	době
12	ředitel
13	pařížského
14	Théatre
15	National
16	de
17	Chaillot
18	)
19	společně
20	se
21	scenáristou
22	a
23	textařem
24	Jeanem
25	-
26	Loupem
27	Dabadiem
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Hru	NOUN	2	obj
2	napsal	VERB	0	root
3	slavný	ADJ	5	amod
4	francouzský	ADJ	5	amod
5	režisér	NOUN	2	nsubj
6	Jérôme	PROPN	5	flat
7	Savary	PROPN	5	flat
8	(	PUNCT	5	punct
9	v	ADP	11	case
10	současné	ADJ	11	amod
11	době	NOUN	5	dep
12	ředitel	NOUN	5	dep
13	pařížského	ADJ	14	amod
14	Théatre	PROPN	12	nmod
15	National	ADJ	14	flat:foreign
16	de	ADP	15	flat:foreign
17	Chaillot	PROPN	15	flat:foreign
18	)	PUNCT	5	punct
19	společně	ADV	24	case
20	se	ADP	19	fixed
21	scenáristou	NOUN	24	nmod
22	a	CCONJ	23	cc
23	textařem	NOUN	21	conj
24	Jeanem	PROPN	2	obl
25	-	PUNCT	24	punct
26	Loupem	PROPN	24	flat
27	Dabadiem	PROPN	24	flat
28	.	PUNCT	2	punct