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:
Bývalý ministr zahraničí USA, jenž bude pokračovat ve zkoumání možností vyslání mírových sil světové organizace do Jugoslávie, by měl dnes přiletět do Bělehradu
Postion	Tokenization
1	Bývalý
2	ministr
3	zahraničí
4	USA
5	,
6	jenž
7	bude
8	pokračovat
9	ve
10	zkoumání
11	možností
12	vyslání
13	mírových
14	sil
15	světové
16	organizace
17	do
18	Jugoslávie
19	,
20	by
21	měl
22	dnes
23	přiletět
24	do
25	Bělehradu
Position	Tokenization	UPOS	Head	Deprel
1	Bývalý	ADJ	2	amod
2	ministr	NOUN	21	nsubj
3	zahraničí	NOUN	2	nmod
4	USA	PROPN	2	nmod
5	,	PUNCT	8	punct
6	jenž	PRON	8	nsubj
7	bude	AUX	8	aux
8	pokračovat	VERB	2	acl:relcl
9	ve	ADP	10	case
10	zkoumání	NOUN	8	obl:arg
11	možností	NOUN	10	nmod
12	vyslání	NOUN	11	nmod
13	mírových	ADJ	14	amod
14	sil	NOUN	12	nmod
15	světové	ADJ	16	amod
16	organizace	NOUN	14	nmod
17	do	ADP	18	case
18	Jugoslávie	PROPN	12	nmod
19	,	PUNCT	8	punct
20	by	AUX	21	aux
21	měl	VERB	0	root
22	dnes	ADV	21	advmod
23	přiletět	VERB	21	xcomp
24	do	ADP	25	case
25	Bělehradu	PROPN	23	obl