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:
Uvažuje se o výstavbě jednopodlažních halových objektů s 31000 m2 užitných ploch a s další užitnou plochou 65000 metrů čtverečních ve vícepodlažních budovách.
Postion	Tokenization
1	Uvažuje
2	se
3	o
4	výstavbě
5	jednopodlažních
6	halových
7	objektů
8	s
9	31000
10	m
11	2
12	užitných
13	ploch
14	a
15	s
16	další
17	užitnou
18	plochou
19	65000
20	metrů
21	čtverečních
22	ve
23	vícepodlažních
24	budovách
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Uvažuje	VERB	0	root
2	se	PRON	1	expl:pass
3	o	ADP	4	case
4	výstavbě	NOUN	1	obl:arg
5	jednopodlažních	ADJ	7	amod
6	halových	ADJ	7	amod
7	objektů	NOUN	4	nmod
8	s	ADP	10	case
9	31000	NUM	10	nummod
10	m	NOUN	7	nmod
11	2	NUM	10	nummod
12	užitných	ADJ	13	amod
13	ploch	NOUN	10	nmod
14	a	CCONJ	18	cc
15	s	ADP	18	case
16	další	ADJ	18	amod
17	užitnou	ADJ	18	amod
18	plochou	NOUN	10	conj
19	65000	NUM	20	nummod:gov
20	metrů	NOUN	18	nmod
21	čtverečních	ADJ	20	amod
22	ve	ADP	24	case
23	vícepodlažních	ADJ	24	amod
24	budovách	NOUN	7	nmod
25	.	PUNCT	1	punct