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:
Na otázku, jak sehnal tolik peněz (podle zprostředkovatelské agentury stojí kurz 50 tisíc korun), prozradil, že si musel značnou částku vypůjčit.
Postion	Tokenization
1	Na
2	otázku
3	,
4	jak
5	sehnal
6	tolik
7	peněz
8	(
9	podle
10	zprostředkovatelské
11	agentury
12	stojí
13	kurz
14	50
15	tisíc
16	korun
17	)
18	,
19	prozradil
20	,
21	že
22	si
23	musel
24	značnou
25	částku
26	vypůjčit
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	otázku	NOUN	19	obl
3	,	PUNCT	5	punct
4	jak	ADV	5	advmod
5	sehnal	VERB	2	acl
6	tolik	DET	7	det:numgov
7	peněz	NOUN	5	obj
8	(	PUNCT	12	punct
9	podle	ADP	11	case
10	zprostředkovatelské	ADJ	11	amod
11	agentury	NOUN	12	obl
12	stojí	VERB	5	parataxis
13	kurz	NOUN	12	nsubj
14	50	NUM	16	nummod:gov
15	tisíc	NUM	16	nummod:gov
16	korun	NOUN	12	obl
17	)	PUNCT	12	punct
18	,	PUNCT	5	punct
19	prozradil	VERB	0	root
20	,	PUNCT	23	punct
21	že	SCONJ	23	mark
22	si	PRON	26	obl
23	musel	VERB	19	ccomp
24	značnou	ADJ	25	amod
25	částku	NOUN	26	obj
26	vypůjčit	VERB	23	xcomp
27	.	PUNCT	19	punct