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:
Například Český technologický park, situovaný na okraji Brna, nabízí pronájem čtverečního metru budoucích prostor za 32 marek měsíčně, respektive 6912 korun za rok a metr čtvereční.
Postion	Tokenization
1	Například
2	Český
3	technologický
4	park
5	,
6	situovaný
7	na
8	okraji
9	Brna
10	,
11	nabízí
12	pronájem
13	čtverečního
14	metru
15	budoucích
16	prostor
17	za
18	32
19	marek
20	měsíčně
21	,
22	respektive
23	6912
24	korun
25	za
26	rok
27	a
28	metr
29	čtvereční
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Například	ADV	4	advmod:emph
2	Český	ADJ	4	amod
3	technologický	ADJ	4	amod
4	park	NOUN	11	nsubj
5	,	PUNCT	6	punct
6	situovaný	ADJ	4	amod
7	na	ADP	8	case
8	okraji	NOUN	6	obl
9	Brna	PROPN	8	nmod
10	,	PUNCT	6	punct
11	nabízí	VERB	0	root
12	pronájem	NOUN	11	obj
13	čtverečního	ADJ	14	amod
14	metru	NOUN	12	nmod
15	budoucích	ADJ	16	amod
16	prostor	NOUN	14	nmod
17	za	ADP	19	case
18	32	NUM	19	nummod:gov
19	marek	NOUN	11	obl
20	měsíčně	ADV	18	advmod
21	,	PUNCT	23	punct
22	respektive	ADV	23	cc
23	6912	NUM	24	nummod:gov
24	korun	NOUN	18	appos
25	za	ADP	26	case
26	rok	NOUN	23	nmod
27	a	CCONJ	28	cc
28	metr	NOUN	26	conj
29	čtvereční	ADJ	28	amod
30	.	PUNCT	11	punct