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:
Hypotéku na pořízení rodinného domu by podle ankety Českomoravské hypoteční banky užila skoro třetina ze zhruba tří tisíc respondentů a na získání vlastního bytu téměř čtvrtina.
Postion	Tokenization
1	Hypotéku
2	na
3	pořízení
4	rodinného
5	domu
6	by
7	podle
8	ankety
9	Českomoravské
10	hypoteční
11	banky
12	užila
13	skoro
14	třetina
15	ze
16	zhruba
17	tří
18	tisíc
19	respondentů
20	_
21	a
22	na
23	získání
24	vlastního
25	bytu
26	téměř
27	čtvrtina
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Hypotéku	NOUN	12	obj
2	na	ADP	3	case
3	pořízení	NOUN	1	nmod
4	rodinného	ADJ	5	amod
5	domu	NOUN	3	nmod
6	by	AUX	12	aux
7	podle	ADP	8	case
8	ankety	NOUN	12	obl
9	Českomoravské	ADJ	11	amod
10	hypoteční	ADJ	11	amod
11	banky	NOUN	8	nmod
12	užila	VERB	0	root
13	skoro	ADV	14	advmod:emph
14	třetina	NUM	12	nsubj
15	ze	ADP	19	case
16	zhruba	ADV	18	advmod:emph
17	tří	NUM	18	compound
18	tisíc	NUM	19	nummod:gov
19	respondentů	NOUN	14	nmod
20	_	_	None	_
21	a	CCONJ	22	cc
22	na	ADP	22	case
23	získání	NOUN	12	conj
24	vlastního	ADJ	24	amod
25	bytu	NOUN	22	nmod
26	téměř	ADV	26	advmod:emph
27	čtvrtina	NUM	22	orphan
28	.	PUNCT	12	punct