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:
"Kromě určitého zvýšení počtu sázek a jejich lepšího rozložení v týdnu je cílem určité zviditelnění a. s. Sazka," tvrdí předseda představenstva Miroslav Svoboda.
Postion	Tokenization
1	"
2	Kromě
3	určitého
4	zvýšení
5	počtu
6	sázek
7	a
8	jejich
9	lepšího
10	rozložení
11	v
12	týdnu
13	je
14	cílem
15	určité
16	zviditelnění
17	a
18	.
19	s
20	.
21	Sazka
22	,
23	"
24	tvrdí
25	předseda
26	představenstva
27	Miroslav
28	Svoboda
29	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	14	punct
2	Kromě	ADP	4	case
3	určitého	ADJ	4	amod
4	zvýšení	NOUN	14	obl
5	počtu	NOUN	4	nmod
6	sázek	NOUN	5	nmod
7	a	CCONJ	10	cc
8	jejich	DET	10	det
9	lepšího	ADJ	10	amod
10	rozložení	NOUN	4	conj
11	v	ADP	12	case
12	týdnu	NOUN	10	nmod
13	je	AUX	14	cop
14	cílem	NOUN	24	ccomp
15	určité	ADJ	16	amod
16	zviditelnění	NOUN	14	nsubj
17	a	ADJ	19	amod
18	.	PUNCT	17	punct
19	s	NOUN	16	nmod
20	.	PUNCT	19	punct
21	Sazka	NOUN	19	nmod
22	,	PUNCT	14	punct
23	"	PUNCT	14	punct
24	tvrdí	VERB	0	root
25	předseda	NOUN	24	nsubj
26	představenstva	NOUN	25	nmod
27	Miroslav	PROPN	25	flat
28	Svoboda	PROPN	25	flat
29	.	PUNCT	24	punct