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:
Text návrhu má být obsažen v dopise prezidenta Billa Clintona Borisi Jelcinovi, který dnes předá ruským vládním činitelům náměstek ministra zahraničí USA S. Talbott.
Postion	Tokenization
1	Text
2	návrhu
3	má
4	být
5	obsažen
6	v
7	dopise
8	prezidenta
9	Billa
10	Clintona
11	Borisi
12	Jelcinovi
13	,
14	který
15	dnes
16	předá
17	ruským
18	vládním
19	činitelům
20	náměstek
21	ministra
22	zahraničí
23	USA
24	S
25	.
26	Talbott
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Text	NOUN	3	nsubj
2	návrhu	NOUN	1	nmod
3	má	VERB	0	root
4	být	AUX	5	cop
5	obsažen	ADJ	3	xcomp
6	v	ADP	7	case
7	dopise	NOUN	5	obl
8	prezidenta	NOUN	7	nmod
9	Billa	PROPN	8	flat
10	Clintona	PROPN	8	flat
11	Borisi	PROPN	7	nmod
12	Jelcinovi	PROPN	11	flat
13	,	PUNCT	16	punct
14	který	DET	16	obj
15	dnes	ADV	16	advmod
16	předá	VERB	7	acl:relcl
17	ruským	ADJ	19	amod
18	vládním	ADJ	19	amod
19	činitelům	NOUN	16	obl:arg
20	náměstek	NOUN	16	nsubj
21	ministra	NOUN	20	nmod
22	zahraničí	NOUN	21	nmod
23	USA	PROPN	22	nmod
24	S	PROPN	20	flat
25	.	PUNCT	24	punct
26	Talbott	PROPN	20	flat
27	.	PUNCT	3	punct