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:
Model počítá s nadprůměrným poplatkem 8000 Kč ročně a předpokládá, že si student v bance půjčí polovinu této částky, protože druhou si vydělá na prázdninové brigádě.
Postion	Tokenization
1	Model
2	počítá
3	s
4	nadprůměrným
5	poplatkem
6	8000
7	Kč
8	ročně
9	a
10	předpokládá
11	,
12	že
13	si
14	student
15	v
16	bance
17	půjčí
18	polovinu
19	této
20	částky
21	,
22	protože
23	druhou
24	si
25	vydělá
26	na
27	prázdninové
28	brigádě
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Model	NOUN	2	nsubj
2	počítá	VERB	0	root
3	s	ADP	5	case
4	nadprůměrným	ADJ	5	amod
5	poplatkem	NOUN	2	obl:arg
6	8000	NUM	5	nummod
7	Kč	NOUN	6	nmod
8	ročně	ADV	7	advmod
9	a	CCONJ	10	cc
10	předpokládá	VERB	2	conj
11	,	PUNCT	17	punct
12	že	SCONJ	17	mark
13	si	PRON	17	obl
14	student	NOUN	17	nsubj
15	v	ADP	16	case
16	bance	NOUN	17	obl
17	půjčí	VERB	10	ccomp
18	polovinu	NOUN	17	obj
19	této	DET	20	det
20	částky	NOUN	18	nmod
21	,	PUNCT	25	punct
22	protože	SCONJ	25	mark
23	druhou	ADJ	25	dep
24	si	PRON	25	obl
25	vydělá	VERB	17	advcl
26	na	ADP	28	case
27	prázdninové	ADJ	28	amod
28	brigádě	NOUN	25	obl
29	.	PUNCT	2	punct