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:
Podle údajů Nezávislé volební komise, které byly zveřejněny po sečtení sedmi z předpokládaných 23 milionů volebních lístků, se pro ANC dosud vyslovilo zhruba 56.9 procenta voličů.
Postion	Tokenization
1	Podle
2	údajů
3	Nezávislé
4	volební
5	komise
6	,
7	které
8	byly
9	zveřejněny
10	po
11	sečtení
12	sedmi
13	z
14	předpokládaných
15	23
16	milionů
17	volebních
18	lístků
19	,
20	se
21	pro
22	ANC
23	dosud
24	vyslovilo
25	zhruba
26	56.9
27	procenta
28	voličů
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	údajů	NOUN	24	obl
3	Nezávislé	ADJ	5	amod
4	volební	ADJ	5	amod
5	komise	NOUN	2	nmod
6	,	PUNCT	9	punct
7	které	DET	9	nsubj:pass
8	byly	AUX	9	aux:pass
9	zveřejněny	ADJ	2	amod
10	po	ADP	11	case
11	sečtení	NOUN	9	obl
12	sedmi	NUM	11	nummod
13	z	ADP	16	case
14	předpokládaných	ADJ	16	amod
15	23	NUM	16	nummod
16	milionů	NOUN	12	nmod
17	volebních	ADJ	18	amod
18	lístků	NOUN	16	nmod
19	,	PUNCT	9	punct
20	se	PRON	24	expl:pv
21	pro	ADP	22	case
22	ANC	PROPN	24	obl:arg
23	dosud	ADV	24	advmod
24	vyslovilo	VERB	0	root
25	zhruba	ADV	26	advmod:emph
26	56.9	NUM	27	nummod:gov
27	procenta	NOUN	24	nsubj
28	voličů	NOUN	27	nmod
29	.	PUNCT	24	punct