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:
V nových prostorách, vybavených klimatizací a dobře zabezpečených, budou cenné materiály údajně lépe využitelné a hlavně odolnější proti ztrátě či zničení.
Postion	Tokenization
1	V
2	nových
3	prostorách
4	,
5	vybavených
6	klimatizací
7	a
8	dobře
9	zabezpečených
10	,
11	budou
12	cenné
13	materiály
14	údajně
15	lépe
16	využitelné
17	a
18	hlavně
19	odolnější
20	proti
21	ztrátě
22	či
23	zničení
24	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	nových	ADJ	3	amod
3	prostorách	NOUN	16	obl
4	,	PUNCT	5	punct
5	vybavených	ADJ	3	amod
6	klimatizací	NOUN	5	obl:arg
7	a	CCONJ	9	cc
8	dobře	ADV	9	advmod
9	zabezpečených	ADJ	5	conj
10	,	PUNCT	5	punct
11	budou	AUX	16	cop
12	cenné	ADJ	13	amod
13	materiály	NOUN	16	nsubj
14	údajně	ADV	16	advmod
15	lépe	ADV	16	advmod
16	využitelné	ADJ	0	root
17	a	CCONJ	19	cc
18	hlavně	ADV	19	advmod:emph
19	odolnější	ADJ	16	conj
20	proti	ADP	21	case
21	ztrátě	NOUN	19	obl
22	či	CCONJ	23	cc
23	zničení	NOUN	21	conj
24	.	PUNCT	16	punct