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:
"Je to také vaše vítězství, pomohli jste skoncovat s apartheidem," řekl Mandela osm dní před tím, než s největší pravděpodobností nastoupí úřad jako první černošský prezident v dějinách JAR.
Postion	Tokenization
1	"
2	Je
3	to
4	také
5	vaše
6	vítězství
7	,
8	pomohli
9	jste
10	skoncovat
11	s
12	apartheidem
13	,
14	"
15	řekl
16	Mandela
17	osm
18	dní
19	před
20	tím
21	,
22	než
23	s
24	největší
25	pravděpodobností
26	nastoupí
27	úřad
28	jako
29	první
30	černošský
31	prezident
32	v
33	dějinách
34	JAR
35	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	6	punct
2	Je	AUX	6	cop
3	to	DET	6	nsubj
4	také	ADV	6	advmod:emph
5	vaše	DET	6	det
6	vítězství	NOUN	15	ccomp
7	,	PUNCT	8	punct
8	pomohli	VERB	6	conj
9	jste	AUX	8	aux
10	skoncovat	VERB	8	advcl
11	s	ADP	12	case
12	apartheidem	NOUN	10	obl:arg
13	,	PUNCT	6	punct
14	"	PUNCT	6	punct
15	řekl	VERB	0	root
16	Mandela	PROPN	15	nsubj
17	osm	NUM	18	nummod:gov
18	dní	NOUN	15	obl
19	před	ADP	20	case
20	tím	DET	18	det
21	,	PUNCT	26	punct
22	než	SCONJ	26	mark
23	s	ADP	25	case
24	největší	ADJ	25	amod
25	pravděpodobností	NOUN	26	obl
26	nastoupí	VERB	20	advcl
27	úřad	NOUN	26	iobj
28	jako	SCONJ	31	mark
29	první	ADJ	31	amod
30	černošský	ADJ	31	amod
31	prezident	NOUN	26	xcomp
32	v	ADP	33	case
33	dějinách	NOUN	31	nmod
34	JAR	PROPN	33	nmod
35	.	PUNCT	15	punct