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:
Kurz akcií České spořitelny vzrostl o více než 750 korun na 7700 Kč, zhruba stejně se zvýšil i u Plzeňských pivovarů, když dosáhl 6300.10 Kč.
Postion	Tokenization
1	Kurz
2	akcií
3	České
4	spořitelny
5	vzrostl
6	o
7	více
8	než
9	750
10	korun
11	na
12	7700
13	Kč
14	,
15	zhruba
16	stejně
17	se
18	zvýšil
19	i
20	u
21	Plzeňských
22	pivovarů
23	,
24	když
25	dosáhl
26	6300.10
27	Kč
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Kurz	NOUN	5	nsubj
2	akcií	NOUN	1	nmod
3	České	ADJ	4	amod
4	spořitelny	NOUN	2	nmod
5	vzrostl	VERB	0	root
6	o	ADP	7	case
7	více	ADV	5	advmod
8	než	SCONJ	9	mark
9	750	NUM	7	obl
10	korun	NOUN	7	nmod
11	na	ADP	12	case
12	7700	NUM	5	obl
13	Kč	NOUN	12	nmod
14	,	PUNCT	18	punct
15	zhruba	ADV	16	advmod
16	stejně	ADV	18	advmod
17	se	PRON	18	expl:pv
18	zvýšil	VERB	5	conj
19	i	CCONJ	22	advmod:emph
20	u	ADP	22	case
21	Plzeňských	ADJ	22	amod
22	pivovarů	NOUN	18	obl
23	,	PUNCT	25	punct
24	když	SCONJ	25	mark
25	dosáhl	VERB	18	advcl
26	6300.10	NUM	25	obj
27	Kč	NOUN	26	nmod
28	.	PUNCT	5	punct