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:
Český krasobruslařský taneční pár Mrázová - Šimeček vybojoval stříbrnou medaili, vůbec první pro českou výpravu na Světové zimní univerziádě v Jace ve Španělsku.
Postion	Tokenization
1	Český
2	krasobruslařský
3	taneční
4	pár
5	Mrázová
6	-
7	Šimeček
8	vybojoval
9	stříbrnou
10	medaili
11	,
12	vůbec
13	první
14	pro
15	českou
16	výpravu
17	na
18	Světové
19	zimní
20	univerziádě
21	v
22	Jace
23	ve
24	Španělsku
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Český	ADJ	4	amod
2	krasobruslařský	ADJ	4	amod
3	taneční	ADJ	4	amod
4	pár	NOUN	8	nsubj
5	Mrázová	PROPN	4	nmod
6	-	PUNCT	7	punct
7	Šimeček	PROPN	5	conj
8	vybojoval	VERB	0	root
9	stříbrnou	ADJ	10	amod
10	medaili	NOUN	8	obj
11	,	PUNCT	13	punct
12	vůbec	ADV	13	advmod:emph
13	první	ADJ	10	amod
14	pro	ADP	16	case
15	českou	ADJ	16	amod
16	výpravu	NOUN	13	obl
17	na	ADP	20	case
18	Světové	ADJ	20	amod
19	zimní	ADJ	20	amod
20	univerziádě	NOUN	16	nmod
21	v	ADP	22	case
22	Jace	PROPN	20	nmod
23	ve	ADP	24	case
24	Španělsku	PROPN	22	nmod
25	.	PUNCT	8	punct