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:
Bělošská liberální strana, která po léta apartheidu v JAR brojila proti rasistickému uspořádání v zemi, v prvních mnohorasových volbách získala podle prozatímních výsledků jen slabou podporu.
Postion	Tokenization
1	Bělošská
2	liberální
3	strana
4	,
5	která
6	po
7	léta
8	apartheidu
9	v
10	JAR
11	brojila
12	proti
13	rasistickému
14	uspořádání
15	v
16	zemi
17	,
18	v
19	prvních
20	mnohorasových
21	volbách
22	získala
23	podle
24	prozatímních
25	výsledků
26	jen
27	slabou
28	podporu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Bělošská	ADJ	3	amod
2	liberální	ADJ	3	amod
3	strana	NOUN	22	nsubj
4	,	PUNCT	11	punct
5	která	DET	11	nsubj
6	po	ADP	7	case
7	léta	NOUN	11	obl
8	apartheidu	NOUN	7	nmod
9	v	ADP	10	case
10	JAR	NOUN	8	nmod
11	brojila	VERB	3	acl:relcl
12	proti	ADP	14	case
13	rasistickému	ADJ	14	amod
14	uspořádání	NOUN	11	obl:arg
15	v	ADP	16	case
16	zemi	NOUN	14	nmod
17	,	PUNCT	11	punct
18	v	ADP	21	case
19	prvních	ADJ	21	amod
20	mnohorasových	ADJ	21	amod
21	volbách	NOUN	22	obl
22	získala	VERB	0	root
23	podle	ADP	25	case
24	prozatímních	ADJ	25	amod
25	výsledků	NOUN	22	obl
26	jen	PART	28	advmod:emph
27	slabou	ADJ	28	amod
28	podporu	NOUN	22	obj
29	.	PUNCT	22	punct