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:
Počet transsexuálů v České republice tedy není přesně znám, ale odhadem se u nás ročně uzavře nebo zahájí asi deset případů.
Postion	Tokenization
1	Počet
2	transsexuálů
3	v
4	České
5	republice
6	tedy
7	není
8	přesně
9	znám
10	,
11	ale
12	odhadem
13	se
14	u
15	nás
16	ročně
17	uzavře
18	nebo
19	zahájí
20	asi
21	deset
22	případů
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Počet	NOUN	9	nsubj
2	transsexuálů	NOUN	1	nmod
3	v	ADP	5	case
4	České	ADJ	5	amod
5	republice	NOUN	1	nmod
6	tedy	ADV	9	advmod
7	není	AUX	9	cop
8	přesně	ADV	9	advmod
9	znám	ADJ	0	root
10	,	PUNCT	17	punct
11	ale	CCONJ	17	cc
12	odhadem	NOUN	17	obl
13	se	PRON	17	expl:pass
14	u	ADP	15	case
15	nás	PRON	17	obl
16	ročně	ADV	17	advmod
17	uzavře	VERB	9	conj
18	nebo	CCONJ	19	cc
19	zahájí	VERB	17	conj
20	asi	PART	21	advmod:emph
21	deset	NUM	22	nummod:gov
22	případů	NOUN	17	nsubj:pass
23	.	PUNCT	9	punct