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:
Jižní Korejci si ve své většině sjednocení přejí, a dokonce velmi neradi slyší, hovoří-li se špatně o bratřích a sestrách ze severu.
Postion	Tokenization
1	Jižní
2	Korejci
3	si
4	ve
5	své
6	většině
7	sjednocení
8	přejí
9	,
10	a
11	dokonce
12	velmi
13	neradi
14	slyší
15	,
16	hovoří
17	-
18	li
19	se
20	špatně
21	o
22	bratřích
23	a
24	sestrách
25	ze
26	severu
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Jižní	ADJ	2	amod
2	Korejci	NOUN	8	nsubj
3	si	PRON	8	expl:pv
4	ve	ADP	6	case
5	své	DET	6	det
6	většině	NOUN	8	obl
7	sjednocení	NOUN	8	obj
8	přejí	VERB	0	root
9	,	PUNCT	14	punct
10	a	CCONJ	14	cc
11	dokonce	ADV	14	advmod:emph
12	velmi	ADV	13	advmod
13	neradi	ADJ	14	xcomp
14	slyší	VERB	8	conj
15	,	PUNCT	16	punct
16	hovoří	VERB	14	advcl
17	-	PUNCT	16	punct
18	li	PART	16	mark
19	se	PRON	16	expl:pass
20	špatně	ADV	16	advmod
21	o	ADP	22	case
22	bratřích	NOUN	16	obl:arg
23	a	CCONJ	24	cc
24	sestrách	NOUN	22	conj
25	ze	ADP	26	case
26	severu	NOUN	22	nmod
27	.	PUNCT	8	punct