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 třetím místě je převážně zulská Strana svobody Inkatha Mangosuthu Butheleziho se 7.5 procenta a na čtvrtém bělošská strana Svobodná fronta s 2.9 procenta hlasů.
Postion	Tokenization
1	Na
2	třetím
3	místě
4	je
5	převážně
6	zulská
7	Strana
8	svobody
9	Inkatha
10	Mangosuthu
11	Butheleziho
12	se
13	7.5
14	procenta
15	_
16	a
17	na
18	čtvrtém
19	bělošská
20	strana
21	Svobodná
22	fronta
23	s
24	2.9
25	procenta
26	hlasů
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	3	case
2	třetím	ADJ	3	amod
3	místě	NOUN	4	obl
4	je	VERB	0	root
5	převážně	ADV	4	advmod
6	zulská	ADJ	7	amod
7	Strana	NOUN	4	nsubj
8	svobody	NOUN	7	nmod
9	Inkatha	PROPN	10	nmod
10	Mangosuthu	PROPN	7	nmod
11	Butheleziho	PROPN	10	flat
12	se	ADP	14	case
13	7.5	NUM	14	nummod:gov
14	procenta	NOUN	4	obl
15	_	_	None	_
16	a	CCONJ	17	cc
17	na	ADP	17	case
18	čtvrtém	ADJ	4	conj
19	bělošská	ADJ	19	amod
20	strana	NOUN	17	orphan
21	Svobodná	ADJ	21	amod
22	fronta	NOUN	19	nmod
23	s	ADP	24	case
24	2.9	NUM	24	nummod:gov
25	procenta	NOUN	17	orphan
26	hlasů	NOUN	24	nmod
27	.	PUNCT	4	punct