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:
Ruský prezident Boris Jelcin včera přiletěl do Tokia, aby se setkal s účastníky vrcholné konference sedmi nejvyvinutějších zemí světa.
Postion	Tokenization
1	Ruský
2	prezident
3	Boris
4	Jelcin
5	včera
6	přiletěl
7	do
8	Tokia
9	,
10	aby
11	aby
12	by
13	se
14	setkal
15	s
16	účastníky
17	vrcholné
18	konference
19	sedmi
20	nejvyvinutějších
21	zemí
22	světa
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Ruský	ADJ	2	amod
2	prezident	NOUN	6	nsubj
3	Boris	PROPN	2	flat
4	Jelcin	PROPN	2	flat
5	včera	ADV	6	advmod
6	přiletěl	VERB	0	root
7	do	ADP	8	case
8	Tokia	PROPN	6	obl
9	,	PUNCT	13	punct
10	aby	_	None	_
11	aby	SCONJ	13	mark
12	by	AUX	13	aux
13	se	PRON	13	expl:pv
14	setkal	VERB	6	advcl
15	s	ADP	15	case
16	účastníky	NOUN	13	obl:arg
17	vrcholné	ADJ	17	amod
18	konference	NOUN	15	nmod
19	sedmi	NUM	20	nummod
20	nejvyvinutějších	ADJ	20	amod
21	zemí	NOUN	17	nmod
22	světa	NOUN	20	nmod
23	.	PUNCT	6	punct