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:
Privatizace a restrukturalizace ekonomiky ČR, podporovaná exportem přílivem zahraničního kapitálu, by měla přinést kromě oživení ekonomického růstu též prohloubení tržních vztahů s postupným snižováním inflace.
Postion	Tokenization
1	Privatizace
2	a
3	restrukturalizace
4	ekonomiky
5	ČR
6	,
7	podporovaná
8	exportem
9	přílivem
10	zahraničního
11	kapitálu
12	,
13	by
14	měla
15	přinést
16	kromě
17	oživení
18	ekonomického
19	růstu
20	též
21	prohloubení
22	tržních
23	vztahů
24	s
25	postupným
26	snižováním
27	inflace
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Privatizace	NOUN	14	nsubj
2	a	CCONJ	3	cc
3	restrukturalizace	NOUN	1	conj
4	ekonomiky	NOUN	1	nmod
5	ČR	PROPN	4	nmod
6	,	PUNCT	7	punct
7	podporovaná	ADJ	1	amod
8	exportem	NOUN	7	obl:arg
9	přílivem	NOUN	7	obl
10	zahraničního	ADJ	11	amod
11	kapitálu	NOUN	9	nmod
12	,	PUNCT	7	punct
13	by	AUX	14	aux
14	měla	VERB	0	root
15	přinést	VERB	14	xcomp
16	kromě	ADP	17	case
17	oživení	NOUN	15	obl
18	ekonomického	ADJ	19	amod
19	růstu	NOUN	17	nmod
20	též	ADV	21	advmod:emph
21	prohloubení	NOUN	15	obj
22	tržních	ADJ	23	amod
23	vztahů	NOUN	21	nmod
24	s	ADP	26	case
25	postupným	ADJ	26	amod
26	snižováním	NOUN	23	nmod
27	inflace	NOUN	26	nmod
28	.	PUNCT	14	punct