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:
Dosavadní výsledky signalizují, že IFP se těší v provincii KwaZulu/Natal nejen tradiční podpoře zulských obyvatel provincie, ale také tamních bělochů a obyvatel indického původu.
Postion	Tokenization
1	Dosavadní
2	výsledky
3	signalizují
4	,
5	že
6	IFP
7	se
8	těší
9	v
10	provincii
11	KwaZulu
12	/
13	Natal
14	nejen
15	tradiční
16	podpoře
17	zulských
18	obyvatel
19	provincie
20	,
21	ale
22	také
23	tamních
24	bělochů
25	a
26	obyvatel
27	indického
28	původu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Dosavadní	ADJ	2	amod
2	výsledky	NOUN	3	nsubj
3	signalizují	VERB	0	root
4	,	PUNCT	8	punct
5	že	SCONJ	8	mark
6	IFP	PROPN	8	nsubj
7	se	PRON	8	expl:pv
8	těší	VERB	3	ccomp
9	v	ADP	10	case
10	provincii	NOUN	8	obl
11	KwaZulu	ADJ	10	amod
12	/	PUNCT	13	punct
13	Natal	PROPN	11	conj
14	nejen	PART	16	advmod:emph
15	tradiční	ADJ	16	amod
16	podpoře	NOUN	8	obl:arg
17	zulských	ADJ	18	amod
18	obyvatel	NOUN	16	nmod
19	provincie	NOUN	18	nmod
20	,	PUNCT	24	punct
21	ale	CCONJ	24	cc
22	také	ADV	24	advmod:emph
23	tamních	ADJ	24	amod
24	bělochů	NOUN	16	conj
25	a	CCONJ	26	cc
26	obyvatel	NOUN	24	conj
27	indického	ADJ	28	amod
28	původu	NOUN	26	nmod
29	.	PUNCT	3	punct