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 text: Předběžné výsledky po sečtení více než 50 procent všech hlasů uvádějí, že IFP v národních volbách získala dosud pouhých 8.3 procenta hlasů, zatímco nejúspěšnější ANC obdržel 62.5 procenta a v pořadí druhá Národní strana (NP) Fredrika W. de Klerka 22.1 procenta.
Position	Tokenization	UPOS	Head	Deprel
1	Předběžné	ADJ	2	amod
2	výsledky	NOUN	11	nsubj
3	po	ADP	4	case
4	sečtení	NOUN	2	nmod
5	více	ADV	10	advmod
6	než	SCONJ	8	mark
7	50	NUM	8	nummod
8	procent	NOUN	5	advcl
9	všech	DET	10	det
10	hlasů	NOUN	4	nmod
11	uvádějí	VERB	0	root
12	,	PUNCT	18	punct
13	že	SCONJ	18	mark
14	IFP	PROPN	18	nsubj
15	v	ADP	17	case
16	národních	ADJ	17	amod
17	volbách	NOUN	18	obl
18	získala	VERB	11	ccomp
19	dosud	ADV	18	advmod
20	pouhých	ADJ	23	amod
21	8.3	NUM	22	nummod:gov
22	procenta	NOUN	18	obj
23	hlasů	NOUN	22	nmod
24	,	PUNCT	28	punct
25	zatímco	SCONJ	28	mark
26	nejúspěšnější	ADJ	27	amod
27	ANC	PROPN	28	nsubj
28	obdržel	VERB	18	advcl
29	62.5	NUM	30	nummod:gov
30	procenta	NOUN	28	obj
31	_	_	None	_
32	a	CCONJ	36	cc
33	v	ADP	33	case
34	pořadí	NOUN	34	obl
35	druhá	ADJ	36	amod
36	Národní	ADJ	36	amod
37	strana	NOUN	28	conj
38	(	PUNCT	38	punct
39	NP	PROPN	36	appos
40	)	PUNCT	38	punct
41	Fredrika	PROPN	36	nmod
42	W	PROPN	40	flat
43	.	PUNCT	41	punct
44	de	ADP	40	flat
45	Klerka	PROPN	40	flat
46	22.1	NUM	46	nummod:gov
47	procenta	NOUN	36	orphan
48	.	PUNCT	11	punct