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:
Vyšetřovatelé OSN včera označili Kolumbii, potenciálně jeden z nejbohatších latinskoamerických států, za zemi vražd a mučení, kde vojáci libovolně zabíjejí civilisty.
Postion	Tokenization
1	Vyšetřovatelé
2	OSN
3	včera
4	označili
5	Kolumbii
6	,
7	potenciálně
8	jeden
9	z
10	nejbohatších
11	latinskoamerických
12	států
13	,
14	za
15	zemi
16	vražd
17	a
18	mučení
19	,
20	kde
21	vojáci
22	libovolně
23	zabíjejí
24	civilisty
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Vyšetřovatelé	NOUN	4	nsubj
2	OSN	PROPN	1	nmod
3	včera	ADV	4	advmod
4	označili	VERB	0	root
5	Kolumbii	PROPN	4	obj
6	,	PUNCT	8	punct
7	potenciálně	ADV	10	advmod
8	jeden	NUM	5	appos
9	z	ADP	12	case
10	nejbohatších	ADJ	12	amod
11	latinskoamerických	ADJ	12	amod
12	států	NOUN	8	nmod
13	,	PUNCT	8	punct
14	za	ADP	15	case
15	zemi	NOUN	4	obl:arg
16	vražd	NOUN	15	nmod
17	a	CCONJ	18	cc
18	mučení	NOUN	16	conj
19	,	PUNCT	23	punct
20	kde	ADV	23	advmod
21	vojáci	NOUN	23	nsubj
22	libovolně	ADV	23	advmod
23	zabíjejí	VERB	15	acl:relcl
24	civilisty	NOUN	23	obj
25	.	PUNCT	4	punct