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 text: Návštěva ruského prezidenta B. Jelcina na Ukrajině se uskuteční začátkem října, těsně před summitem Společenství nezávislých států (SNS), který se má konat 7. října v Moskvě, nebo krátce po něm.
Position	Tokenization	UPOS	Head	Deprel
1	Návštěva	NOUN	10	nsubj
2	ruského	ADJ	3	amod
3	prezidenta	NOUN	1	nmod
4	B	PROPN	3	flat
5	.	PUNCT	4	punct
6	Jelcina	PROPN	3	flat
7	na	ADP	8	case
8	Ukrajině	PROPN	1	nmod
9	se	PRON	10	expl:pv
10	uskuteční	VERB	0	root
11	začátkem	NOUN	12	case
12	října	NOUN	10	obl
13	,	PUNCT	14	punct
14	těsně	ADV	12	appos
15	před	ADP	16	case
16	summitem	NOUN	14	obl
17	Společenství	NOUN	16	nmod
18	nezávislých	ADJ	19	amod
19	států	NOUN	17	nmod
20	(	PUNCT	21	punct
21	SNS	PROPN	17	appos
22	)	PUNCT	21	punct
23	,	PUNCT	26	punct
24	který	DET	26	nsubj
25	se	PRON	27	expl:pv
26	má	VERB	16	acl:relcl
27	konat	VERB	26	xcomp
28	7	NUM	30	nummod
29	.	PUNCT	28	punct
30	října	NOUN	27	obl
31	v	ADP	32	case
32	Moskvě	PROPN	27	obl
33	,	PUNCT	35	punct
34	nebo	CCONJ	35	cc
35	krátce	ADV	12	conj
36	po	ADP	37	case
37	něm	PRON	35	obl
38	.	PUNCT	10	punct