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:
Hráč Dynama Minsk Valentin Bělkevič byl přistižen při dopinku při namátkové kontrole v prvním utkání předkola Poháru UEFA Dynamo Minsk - FC Hibernians (Malta) 9. srpna.
Postion	Tokenization
1	Hráč
2	Dynama
3	Minsk
4	Valentin
5	Bělkevič
6	byl
7	přistižen
8	při
9	dopinku
10	při
11	namátkové
12	kontrole
13	v
14	prvním
15	utkání
16	předkola
17	Poháru
18	UEFA
19	Dynamo
20	Minsk
21	-
22	FC
23	Hibernians
24	(
25	Malta
26	)
27	9
28	.
29	srpna
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Hráč	NOUN	7	nsubj:pass
2	Dynama	NOUN	1	nmod
3	Minsk	PROPN	2	nmod
4	Valentin	PROPN	1	flat
5	Bělkevič	PROPN	1	flat
6	byl	AUX	7	aux:pass
7	přistižen	ADJ	0	root
8	při	ADP	9	case
9	dopinku	NOUN	7	obl
10	při	ADP	12	case
11	namátkové	ADJ	12	amod
12	kontrole	NOUN	9	nmod
13	v	ADP	15	case
14	prvním	ADJ	15	amod
15	utkání	NOUN	12	nmod
16	předkola	NOUN	15	nmod
17	Poháru	NOUN	16	nmod
18	UEFA	PROPN	17	nmod
19	Dynamo	NOUN	15	nmod
20	Minsk	PROPN	19	nmod
21	-	PUNCT	22	punct
22	FC	PROPN	19	conj
23	Hibernians	PROPN	22	nmod
24	(	PUNCT	22	punct
25	Malta	NOUN	22	dep
26	)	PUNCT	22	punct
27	9	NUM	29	nummod
28	.	PUNCT	27	punct
29	srpna	NOUN	15	nmod
30	.	PUNCT	7	punct