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:
Voliči v něm vyjádřili stanovisko k navrhovaným mapám územního rozdělení Bosny a Hercegoviny mezi Srby a chorvatsko-muslimskou federaci v poměru 49 ku 51 procentům.
Postion	Tokenization
1	Voliči
2	v
3	něm
4	vyjádřili
5	stanovisko
6	k
7	navrhovaným
8	mapám
9	územního
10	rozdělení
11	Bosny
12	a
13	Hercegoviny
14	mezi
15	Srby
16	a
17	chorvatsko
18	-
19	muslimskou
20	federaci
21	v
22	poměru
23	49
24	ku
25	51
26	procentům
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Voliči	NOUN	4	nsubj
2	v	ADP	3	case
3	něm	PRON	4	obl
4	vyjádřili	VERB	0	root
5	stanovisko	NOUN	4	obj
6	k	ADP	8	case
7	navrhovaným	ADJ	8	amod
8	mapám	NOUN	5	nmod
9	územního	ADJ	10	amod
10	rozdělení	NOUN	8	nmod
11	Bosny	PROPN	10	nmod
12	a	CCONJ	13	cc
13	Hercegoviny	PROPN	11	conj
14	mezi	ADP	15	case
15	Srby	PROPN	10	nmod
16	a	CCONJ	20	cc
17	chorvatsko	ADJ	20	amod
18	-	PUNCT	19	punct
19	muslimskou	ADJ	17	conj
20	federaci	NOUN	15	conj
21	v	ADP	22	case
22	poměru	NOUN	10	nmod
23	49	NUM	22	dep
24	ku	ADP	26	case
25	51	NUM	26	nummod
26	procentům	NOUN	22	nmod
27	.	PUNCT	4	punct