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:
Lze prokázat, že země, kde došlo v posledním čtvrtstoletí k útlumu ekonomické aktivity, více či méně skrytě tohoto "oddechového času" využily k restrukturalizaci ekonomiky.
Postion	Tokenization
1	Lze
2	prokázat
3	,
4	že
5	země
6	,
7	kde
8	došlo
9	v
10	posledním
11	čtvrtstoletí
12	k
13	útlumu
14	ekonomické
15	aktivity
16	,
17	více
18	či
19	méně
20	skrytě
21	tohoto
22	"
23	oddechového
24	času
25	"
26	využily
27	k
28	restrukturalizaci
29	ekonomiky
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Lze	VERB	0	root
2	prokázat	VERB	1	csubj
3	,	PUNCT	26	punct
4	že	SCONJ	26	mark
5	země	NOUN	26	nsubj
6	,	PUNCT	8	punct
7	kde	ADV	8	advmod
8	došlo	VERB	5	acl:relcl
9	v	ADP	11	case
10	posledním	ADJ	11	amod
11	čtvrtstoletí	NOUN	8	obl
12	k	ADP	13	case
13	útlumu	NOUN	8	obl:arg
14	ekonomické	ADJ	15	amod
15	aktivity	NOUN	13	nmod
16	,	PUNCT	8	punct
17	více	ADV	20	advmod
18	či	CCONJ	19	cc
19	méně	ADV	17	conj
20	skrytě	ADV	26	advmod
21	tohoto	DET	24	det
22	"	PUNCT	24	punct
23	oddechového	ADJ	24	amod
24	času	NOUN	26	obl:arg
25	"	PUNCT	24	punct
26	využily	VERB	2	ccomp
27	k	ADP	28	case
28	restrukturalizaci	NOUN	26	obl
29	ekonomiky	NOUN	28	nmod
30	.	PUNCT	1	punct