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 text: Největší zájem je o koupi nebo pronájmy bytů či nebytových prostor situovaných co nejblíže centrům měst (Velké Meziříčí, Velká Bíteš, Žďár nad Sázavou, Nové Město na Moravě, Tišnov, Bystřice nad Pernštejnem).
Position	Tokenization	UPOS	Head	Deprel
1	Největší	ADJ	2	amod
2	zájem	NOUN	3	nsubj
3	je	VERB	0	root
4	o	ADP	5	case
5	koupi	NOUN	2	nmod
6	nebo	CCONJ	7	cc
7	pronájmy	NOUN	5	conj
8	bytů	NOUN	5	nmod
9	či	CCONJ	11	cc
10	nebytových	ADJ	11	amod
11	prostor	NOUN	8	conj
12	situovaných	ADJ	8	amod
13	co	ADV	14	advmod
14	nejblíže	ADV	12	advmod
15	centrům	NOUN	14	obl
16	měst	NOUN	15	nmod
17	(	PUNCT	19	punct
18	Velké	ADJ	19	amod
19	Meziříčí	NOUN	16	dep
20	,	PUNCT	22	punct
21	Velká	ADJ	22	amod
22	Bíteš	PROPN	19	conj
23	,	PUNCT	24	punct
24	Žďár	PROPN	19	conj
25	nad	ADP	26	case
26	Sázavou	PROPN	24	nmod
27	,	PUNCT	29	punct
28	Nové	ADJ	29	amod
29	Město	NOUN	19	conj
30	na	ADP	31	case
31	Moravě	PROPN	29	nmod
32	,	PUNCT	33	punct
33	Tišnov	PROPN	19	conj
34	,	PUNCT	35	punct
35	Bystřice	PROPN	19	conj
36	nad	ADP	37	case
37	Pernštejnem	PROPN	35	nmod
38	)	PUNCT	19	punct
39	.	PUNCT	3	punct