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:
Pokračující privatizace a restrukturalizace si však vynutí zvýšení míry nezaměstnanosti z 3.5 % koncem roku 1993 na 5 - 6 % ke konci příštího roku.
Postion	Tokenization
1	Pokračující
2	privatizace
3	a
4	restrukturalizace
5	si
6	však
7	vynutí
8	zvýšení
9	míry
10	nezaměstnanosti
11	z
12	3.5
13	%
14	koncem
15	roku
16	1993
17	na
18	5
19	-
20	6
21	%
22	ke
23	konci
24	příštího
25	roku
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Pokračující	ADJ	2	amod
2	privatizace	NOUN	7	nsubj
3	a	CCONJ	4	cc
4	restrukturalizace	NOUN	2	conj
5	si	PRON	7	expl:pv
6	však	CCONJ	7	cc
7	vynutí	VERB	0	root
8	zvýšení	NOUN	7	obj
9	míry	NOUN	8	nmod
10	nezaměstnanosti	NOUN	9	nmod
11	z	ADP	12	case
12	3.5	NUM	8	nummod
13	%	SYM	12	nmod
14	koncem	NOUN	15	case
15	roku	NOUN	13	nmod
16	1993	NUM	15	nummod
17	na	ADP	18	case
18	5	NUM	8	nummod
19	-	PUNCT	20	punct
20	6	NUM	18	conj
21	%	SYM	18	nmod
22	ke	ADP	23	case
23	konci	NOUN	21	nmod
24	příštího	ADJ	25	amod
25	roku	NOUN	23	nmod
26	.	PUNCT	7	punct