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: Nejnaléhavěji to vystupuje do popředí u bytů ve vlastnictví obcí, protože ty spravují asi čtvrtinu bytového fondu České republiky a některé mají - především z finančních důvodů - zájem část svých bytů zpeněžit.
Position	Tokenization	UPOS	Head	Deprel
1	Nejnaléhavěji	ADV	3	advmod
2	to	DET	3	nsubj
3	vystupuje	VERB	0	root
4	do	ADP	5	case
5	popředí	NOUN	3	obl
6	u	ADP	7	case
7	bytů	NOUN	3	obl
8	ve	ADP	9	case
9	vlastnictví	NOUN	7	nmod
10	obcí	NOUN	9	nmod
11	,	PUNCT	14	punct
12	protože	SCONJ	14	mark
13	ty	DET	14	nsubj
14	spravují	VERB	3	advcl
15	asi	PART	16	advmod:emph
16	čtvrtinu	NUM	14	obj
17	bytového	ADJ	18	amod
18	fondu	NOUN	16	nmod
19	České	ADJ	20	amod
20	republiky	NOUN	18	nmod
21	a	CCONJ	23	cc
22	některé	DET	23	nsubj
23	mají	VERB	14	conj
24	-	PUNCT	28	punct
25	především	ADV	28	advmod:emph
26	z	ADP	28	case
27	finančních	ADJ	28	amod
28	důvodů	NOUN	23	obl
29	-	PUNCT	28	punct
30	zájem	NOUN	23	obj
31	část	NOUN	34	obj
32	svých	DET	33	det
33	bytů	NOUN	31	nmod
34	zpeněžit	VERB	30	acl
35	.	PUNCT	3	punct