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:
Politolog Willem Kleynhans, známý svou apokalyptickou vizí nové JAR, označil za zázrak, že volby provázelo tak málo násilí.
Postion	Tokenization
1	Politolog
2	Willem
3	Kleynhans
4	,
5	známý
6	svou
7	apokalyptickou
8	vizí
9	nové
10	JAR
11	,
12	označil
13	za
14	zázrak
15	,
16	že
17	volby
18	provázelo
19	tak
20	málo
21	násilí
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Politolog	NOUN	12	nsubj
2	Willem	PROPN	1	flat
3	Kleynhans	PROPN	1	flat
4	,	PUNCT	5	punct
5	známý	ADJ	1	amod
6	svou	DET	8	det
7	apokalyptickou	ADJ	8	amod
8	vizí	NOUN	5	obl:arg
9	nové	ADJ	10	amod
10	JAR	NOUN	8	nmod
11	,	PUNCT	5	punct
12	označil	VERB	0	root
13	za	ADP	14	case
14	zázrak	NOUN	12	obl:arg
15	,	PUNCT	18	punct
16	že	SCONJ	18	mark
17	volby	NOUN	18	obj
18	provázelo	VERB	12	ccomp
19	tak	ADV	20	advmod
20	málo	DET	21	det:numgov
21	násilí	NOUN	18	nsubj
22	.	PUNCT	12	punct