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:
V této prestižní soutěži, z níž vzejde již podruhé mistr světa, nastoupí v hlavním městě Polska i dvojice reprezentantů ČR Antonín Klatovský a Bronislav Franc.
Postion	Tokenization
1	V
2	této
3	prestižní
4	soutěži
5	,
6	z
7	níž
8	vzejde
9	již
10	podruhé
11	mistr
12	světa
13	,
14	nastoupí
15	v
16	hlavním
17	městě
18	Polska
19	i
20	dvojice
21	reprezentantů
22	ČR
23	Antonín
24	Klatovský
25	a
26	Bronislav
27	Franc
28	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	4	case
2	této	DET	4	det
3	prestižní	ADJ	4	amod
4	soutěži	NOUN	14	obl
5	,	PUNCT	8	punct
6	z	ADP	7	case
7	níž	PRON	8	obl
8	vzejde	VERB	4	acl:relcl
9	již	ADV	10	advmod:emph
10	podruhé	ADV	8	obl
11	mistr	NOUN	8	nsubj
12	světa	NOUN	11	nmod
13	,	PUNCT	8	punct
14	nastoupí	VERB	0	root
15	v	ADP	17	case
16	hlavním	ADJ	17	amod
17	městě	NOUN	14	obl
18	Polska	PROPN	17	nmod
19	i	CCONJ	20	advmod:emph
20	dvojice	NOUN	24	nmod
21	reprezentantů	NOUN	20	nmod
22	ČR	PROPN	21	nmod
23	Antonín	PROPN	24	nmod
24	Klatovský	ADJ	14	nsubj
25	a	CCONJ	26	cc
26	Bronislav	PROPN	24	conj
27	Franc	PROPN	26	flat
28	.	PUNCT	14	punct