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:
Na základě dvou třetin sečtených hlasů získala v Západním Kapsku de Klerkova strana ve volbách do místního parlamentu zhruba 55 procent hlasů, zatímco Africký národní kongres jen 30 procent.
Postion	Tokenization
1	Na
2	základě
3	dvou
4	třetin
5	sečtených
6	hlasů
7	získala
8	v
9	Západním
10	Kapsku
11	de
12	Klerkova
13	strana
14	ve
15	volbách
16	do
17	místního
18	parlamentu
19	zhruba
20	55
21	procent
22	hlasů
23	,
24	zatímco
25	Africký
26	národní
27	kongres
28	jen
29	30
30	procent
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	4	case
2	základě	NOUN	1	fixed
3	dvou	NUM	4	nummod
4	třetin	NUM	7	obl
5	sečtených	ADJ	6	amod
6	hlasů	NOUN	4	nmod
7	získala	VERB	0	root
8	v	ADP	10	case
9	Západním	ADJ	10	amod
10	Kapsku	PROPN	7	obl
11	de	ADP	12	nmod
12	Klerkova	ADJ	13	amod
13	strana	NOUN	7	nsubj
14	ve	ADP	15	case
15	volbách	NOUN	7	obl
16	do	ADP	18	case
17	místního	ADJ	18	amod
18	parlamentu	NOUN	15	nmod
19	zhruba	ADV	20	advmod:emph
20	55	NUM	21	nummod:gov
21	procent	NOUN	7	obj
22	hlasů	NOUN	21	nmod
23	,	PUNCT	7	punct
24	zatímco	SCONJ	7	mark
25	Africký	ADJ	27	amod
26	národní	ADJ	27	amod
27	kongres	NOUN	7	dep
28	jen	PART	29	advmod:emph
29	30	NUM	30	nummod:gov
30	procent	NOUN	7	dep
31	.	PUNCT	7	punct