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 text: Letos v anketě mimořádně uspěla CZ Bělehrad, vítěz PMEZ, která má v první desítce čtyři hráče: tři Jugoslávce (Savičevič, Pančev, Prosinečki) a jednoho Rumuna (Belodedič).
Position	Tokenization	UPOS	Head	Deprel
1	Letos	ADV	5	advmod
2	v	ADP	3	case
3	anketě	NOUN	5	obl
4	mimořádně	ADV	5	advmod
5	uspěla	VERB	0	root
6	CZ	PROPN	5	nsubj
7	Bělehrad	PROPN	6	nmod
8	,	PUNCT	9	punct
9	vítěz	NOUN	6	appos
10	PMEZ	PROPN	9	nmod
11	,	PUNCT	13	punct
12	která	DET	13	nsubj
13	má	VERB	6	acl:relcl
14	v	ADP	16	case
15	první	ADJ	16	amod
16	desítce	NOUN	13	obl
17	čtyři	NUM	18	nummod
18	hráče	NOUN	13	obj
19	:	PUNCT	21	punct
20	tři	NUM	21	nummod
21	Jugoslávce	PROPN	18	appos
22	(	PUNCT	21	punct
23	Savičevič	PROPN	21	dep
24	,	PUNCT	25	punct
25	Pančev	PROPN	23	conj
26	,	PUNCT	27	punct
27	Prosinečki	PROPN	23	conj
28	)	PUNCT	21	punct
29	a	CCONJ	31	cc
30	jednoho	NUM	31	nummod
31	Rumuna	PROPN	21	conj
32	(	PUNCT	31	punct
33	Belodedič	PROPN	31	dep
34	)	PUNCT	31	punct
35	.	PUNCT	5	punct