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: Mezinárodní měnový fond kladně hodnotí pokles inflace, zreálnění úrokových sazeb, postupující privatizaci a restriktivní politiku Černomyrdinovy vlády, a proto letos v dubnu uvolnil Rusku druhou polovinu slíbené půjčky ve výši tří miliard dolarů.
Position	Tokenization	UPOS	Head	Deprel
1	Mezinárodní	ADJ	3	amod
2	měnový	ADJ	3	amod
3	fond	NOUN	5	nsubj
4	kladně	ADV	5	advmod
5	hodnotí	VERB	0	root
6	pokles	NOUN	5	obj
7	inflace	NOUN	6	nmod
8	,	PUNCT	9	punct
9	zreálnění	NOUN	6	conj
10	úrokových	ADJ	11	amod
11	sazeb	NOUN	9	nmod
12	,	PUNCT	14	punct
13	postupující	ADJ	14	amod
14	privatizaci	NOUN	6	conj
15	a	CCONJ	17	cc
16	restriktivní	ADJ	17	amod
17	politiku	NOUN	6	conj
18	Černomyrdinovy	ADJ	19	amod
19	vlády	NOUN	17	nmod
20	,	PUNCT	26	punct
21	a	CCONJ	26	cc
22	proto	CCONJ	26	cc
23	letos	ADV	26	advmod
24	v	ADP	25	case
25	dubnu	NOUN	26	obl
26	uvolnil	VERB	5	conj
27	Rusku	PROPN	26	obl:arg
28	druhou	ADJ	29	amod
29	polovinu	NOUN	26	obj
30	slíbené	ADJ	31	amod
31	půjčky	NOUN	29	nmod
32	ve	ADP	33	case
33	výši	NOUN	31	nmod
34	tří	NUM	35	nummod
35	miliard	NOUN	33	nmod
36	dolarů	NOUN	35	nmod
37	.	PUNCT	5	punct