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:
Kdo si dnes vydluží schodkem v rozpočtu, aby později zaplatil ten, koho se dnes nikdo neptá, půjčí si snadněji a utrácet bude rád.
Postion	Tokenization
1	Kdo
2	si
3	dnes
4	vydluží
5	schodkem
6	v
7	rozpočtu
8	,
9	aby
10	aby
11	by
12	později
13	zaplatil
14	ten
15	,
16	koho
17	se
18	dnes
19	nikdo
20	neptá
21	,
22	půjčí
23	si
24	snadněji
25	a
26	utrácet
27	bude
28	rád
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Kdo	PRON	4	nsubj
2	si	PRON	4	expl:pv
3	dnes	ADV	4	advmod
4	vydluží	VERB	21	csubj
5	schodkem	NOUN	4	obl
6	v	ADP	7	case
7	rozpočtu	NOUN	5	nmod
8	,	PUNCT	12	punct
9	aby	_	None	_
10	aby	SCONJ	12	mark
11	by	AUX	12	aux
12	později	ADV	12	advmod
13	zaplatil	VERB	4	advcl
14	ten	DET	12	nsubj
15	,	PUNCT	19	punct
16	koho	PRON	19	obl:arg
17	se	PRON	19	expl:pv
18	dnes	ADV	19	advmod
19	nikdo	PRON	19	nsubj
20	neptá	VERB	13	acl:relcl
21	,	PUNCT	4	punct
22	půjčí	VERB	0	root
23	si	PRON	21	obl
24	snadněji	ADV	21	advmod
25	a	CCONJ	25	cc
26	utrácet	VERB	21	conj
27	bude	AUX	25	aux
28	rád	ADJ	25	xcomp
29	.	PUNCT	21	punct