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:
Jeden metr čtvereční podlahové plochy nově postaveného bytu stojí zhruba 10000 korun a maximální nájemné činí 72 Kč za 1 m za rok, tedy 0.7 % této částky.
Postion	Tokenization
1	Jeden
2	metr
3	čtvereční
4	podlahové
5	plochy
6	nově
7	postaveného
8	bytu
9	stojí
10	zhruba
11	10000
12	korun
13	a
14	maximální
15	nájemné
16	činí
17	72
18	Kč
19	za
20	1
21	m
22	za
23	rok
24	,
25	tedy
26	0.7
27	%
28	této
29	částky
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Jeden	NUM	2	nummod
2	metr	NOUN	9	nsubj
3	čtvereční	ADJ	2	amod
4	podlahové	ADJ	5	amod
5	plochy	NOUN	2	nmod
6	nově	ADV	7	advmod
7	postaveného	ADJ	8	amod
8	bytu	NOUN	5	nmod
9	stojí	VERB	0	root
10	zhruba	ADV	11	advmod:emph
11	10000	NUM	12	nummod:gov
12	korun	NOUN	9	obj
13	a	CCONJ	16	cc
14	maximální	ADJ	15	amod
15	nájemné	NOUN	16	nsubj
16	činí	VERB	9	conj
17	72	NUM	16	obj
18	Kč	NOUN	17	nmod
19	za	ADP	21	case
20	1	NUM	21	nummod
21	m	NOUN	18	nmod
22	za	ADP	23	case
23	rok	NOUN	18	nmod
24	,	PUNCT	26	punct
25	tedy	ADV	26	cc
26	0.7	NUM	17	compound
27	%	SYM	26	nmod
28	této	DET	29	det
29	částky	NOUN	27	nmod
30	.	PUNCT	9	punct