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:
Jedním z výsledků jednání je podle amerického ministra financí Lloyda Bentsena dohoda, že skupina G7 asi poskytne Rusku privatizační fond o výši tří miliard dolarů.
Postion	Tokenization
1	Jedním
2	z
3	výsledků
4	jednání
5	je
6	podle
7	amerického
8	ministra
9	financí
10	Lloyda
11	Bentsena
12	dohoda
13	,
14	že
15	skupina
16	G
17	7
18	asi
19	poskytne
20	Rusku
21	privatizační
22	fond
23	o
24	výši
25	tří
26	miliard
27	dolarů
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Jedním	NUM	0	root
2	z	ADP	3	case
3	výsledků	NOUN	1	nmod
4	jednání	NOUN	3	nmod
5	je	AUX	1	cop
6	podle	ADP	8	case
7	amerického	ADJ	8	amod
8	ministra	NOUN	1	obl
9	financí	NOUN	8	nmod
10	Lloyda	PROPN	8	flat
11	Bentsena	PROPN	8	flat
12	dohoda	NOUN	1	nsubj
13	,	PUNCT	19	punct
14	že	SCONJ	19	mark
15	skupina	NOUN	19	nsubj
16	G	NOUN	15	nmod
17	7	NUM	16	nummod
18	asi	PART	19	advmod
19	poskytne	VERB	12	acl
20	Rusku	PROPN	19	obl:arg
21	privatizační	ADJ	22	amod
22	fond	NOUN	19	obj
23	o	ADP	24	case
24	výši	NOUN	22	nmod
25	tří	NUM	26	nummod
26	miliard	NOUN	24	nmod
27	dolarů	NOUN	26	nmod
28	.	PUNCT	1	punct