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:
Po Stehelovi z čs. reprezentace se stane posilou účastníka německé zápasnické ligy Hansa 90 olympijský vítěz a dvojnásobný mistr světa v zápase řeckořímském do 48 kg Ukrajinec Oleg Kutčenko.
Postion	Tokenization
1	Po
2	Stehelovi
3	z
4	čs
5	.
6	reprezentace
7	se
8	stane
9	posilou
10	účastníka
11	německé
12	zápasnické
13	ligy
14	Hansa
15	90
16	olympijský
17	vítěz
18	a
19	dvojnásobný
20	mistr
21	světa
22	v
23	zápase
24	řeckořímském
25	do
26	48
27	kg
28	Ukrajinec
29	Oleg
30	Kutčenko
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	2	case
2	Stehelovi	PROPN	8	obl
3	z	ADP	6	case
4	čs	ADJ	6	amod
5	.	PUNCT	4	punct
6	reprezentace	NOUN	2	nmod
7	se	PRON	8	expl:pv
8	stane	VERB	0	root
9	posilou	NOUN	8	obl:arg
10	účastníka	NOUN	9	nmod
11	německé	ADJ	13	amod
12	zápasnické	ADJ	13	amod
13	ligy	NOUN	10	nmod
14	Hansa	PROPN	13	nmod
15	90	NUM	14	nummod
16	olympijský	ADJ	17	amod
17	vítěz	NOUN	28	nmod
18	a	CCONJ	20	cc
19	dvojnásobný	ADJ	20	amod
20	mistr	NOUN	17	conj
21	světa	NOUN	20	nmod
22	v	ADP	23	case
23	zápase	NOUN	20	nmod
24	řeckořímském	ADJ	23	amod
25	do	ADP	27	case
26	48	NUM	27	nummod
27	kg	NOUN	23	nmod
28	Ukrajinec	NOUN	8	nsubj
29	Oleg	PROPN	28	flat
30	Kutčenko	PROPN	28	flat
31	.	PUNCT	8	punct