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:
Údaje zveřejněné Nezávislou volební komisí ukazují, že Africký národní kongres Nelsona Mandely vede s 62.2 procenta hlasů před Národní stranou Frederika de Klerka, která zatím získala 23 procenta hlasů.
Postion	Tokenization
1	Údaje
2	zveřejněné
3	Nezávislou
4	volební
5	komisí
6	ukazují
7	,
8	že
9	Africký
10	národní
11	kongres
12	Nelsona
13	Mandely
14	vede
15	s
16	62.2
17	procenta
18	hlasů
19	před
20	Národní
21	stranou
22	Frederika
23	de
24	Klerka
25	,
26	která
27	zatím
28	získala
29	23
30	procenta
31	hlasů
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Údaje	NOUN	6	nsubj
2	zveřejněné	ADJ	1	amod
3	Nezávislou	ADJ	5	amod
4	volební	ADJ	5	amod
5	komisí	NOUN	2	obl
6	ukazují	VERB	0	root
7	,	PUNCT	14	punct
8	že	SCONJ	14	mark
9	Africký	ADJ	11	amod
10	národní	ADJ	11	amod
11	kongres	NOUN	14	nsubj
12	Nelsona	PROPN	11	nmod
13	Mandely	PROPN	12	flat
14	vede	VERB	6	ccomp
15	s	ADP	17	case
16	62.2	NUM	17	nummod:gov
17	procenta	NOUN	14	obl
18	hlasů	NOUN	17	nmod
19	před	ADP	21	case
20	Národní	ADJ	21	amod
21	stranou	NOUN	14	obl:arg
22	Frederika	PROPN	21	nmod
23	de	ADP	22	flat
24	Klerka	PROPN	22	flat
25	,	PUNCT	28	punct
26	která	DET	28	nsubj
27	zatím	ADV	28	advmod
28	získala	VERB	21	acl:relcl
29	23	NUM	30	nummod
30	procenta	NOUN	28	obj
31	hlasů	NOUN	30	nmod
32	.	PUNCT	6	punct