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: Vklady klientů se zvýšily o čtvrtinu z 2.2 na 2.7 miliardy Kč, závazky k bankám vzrostly z 1.5 na 1.8 miliardy Kč a objem klientských úvěrů se zvětšil o 15 % na 4.1 miliardy Kč.
Position	Tokenization	UPOS	Head	Deprel
1	Vklady	NOUN	4	nsubj
2	klientů	NOUN	1	nmod
3	se	PRON	4	expl:pv
4	zvýšily	VERB	0	root
5	o	ADP	6	case
6	čtvrtinu	NUM	4	obl
7	z	ADP	8	case
8	2.2	NUM	4	dep
9	na	ADP	11	case
10	2.7	NUM	11	nummod:gov
11	miliardy	NOUN	4	obl:arg
12	Kč	NOUN	11	nmod
13	,	PUNCT	17	punct
14	závazky	NOUN	17	nsubj
15	k	ADP	16	case
16	bankám	NOUN	14	nmod
17	vzrostly	VERB	4	conj
18	z	ADP	19	case
19	1.5	NUM	17	dep
20	na	ADP	22	case
21	1.8	NUM	22	nummod:gov
22	miliardy	NOUN	17	obl:arg
23	Kč	NOUN	22	nmod
24	a	CCONJ	29	cc
25	objem	NOUN	29	nsubj
26	klientských	ADJ	27	amod
27	úvěrů	NOUN	25	nmod
28	se	PRON	29	expl:pv
29	zvětšil	VERB	4	conj
30	o	ADP	31	case
31	15	NUM	29	obl
32	%	SYM	31	nmod
33	na	ADP	35	case
34	4.1	NUM	35	nummod:gov
35	miliardy	NOUN	29	obl:arg
36	Kč	NOUN	35	nmod
37	.	PUNCT	4	punct