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:
Režie Tomáš Töpfer, scéna Otakar Schindler, kostýmy Zita Milošová, hudba Jaromír Vogel, choreografie Ivan Krob, šerm Karel Basák, dramaturgie Helena Šimáčková.
Postion	Tokenization
1	Režie
2	_
3	Tomáš
4	Töpfer
5	,
6	scéna
7	Otakar
8	Schindler
9	,
10	kostýmy
11	Zita
12	Milošová
13	,
14	hudba
15	Jaromír
16	Vogel
17	,
18	choreografie
19	Ivan
20	Krob
21	,
22	šerm
23	Karel
24	Basák
25	,
26	dramaturgie
27	Helena
28	Šimáčková
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Režie	NOUN	0	root
2	_	_	None	_
3	Tomáš	PROPN	1	conj
4	Töpfer	PROPN	2	flat
5	,	PUNCT	2	punct
6	scéna	NOUN	2	orphan
7	Otakar	PROPN	2	orphan
8	Schindler	PROPN	6	flat
9	,	PUNCT	2	punct
10	kostýmy	NOUN	2	orphan
11	Zita	PROPN	2	orphan
12	Milošová	PROPN	10	flat
13	,	PUNCT	2	punct
14	hudba	NOUN	2	orphan
15	Jaromír	PROPN	2	orphan
16	Vogel	PROPN	14	flat
17	,	PUNCT	2	punct
18	choreografie	NOUN	2	orphan
19	Ivan	PROPN	2	orphan
20	Krob	PROPN	18	flat
21	,	PUNCT	2	punct
22	šerm	NOUN	2	orphan
23	Karel	PROPN	2	orphan
24	Basák	PROPN	22	flat
25	,	PUNCT	2	punct
26	dramaturgie	NOUN	2	orphan
27	Helena	PROPN	2	orphan
28	Šimáčková	PROPN	26	flat
29	.	PUNCT	1	punct