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:
Na pražském trhu realit platí odvozené prodejní ceny ploch při době návratnosti osmi let zhruba v rozmezí od 43 tisíc do 105 tisíc korun za metr čtvereční.
Postion	Tokenization
1	Na
2	pražském
3	trhu
4	realit
5	platí
6	odvozené
7	prodejní
8	ceny
9	ploch
10	při
11	době
12	návratnosti
13	osmi
14	let
15	zhruba
16	v
17	rozmezí
18	od
19	43
20	tisíc
21	do
22	105
23	tisíc
24	korun
25	za
26	metr
27	čtvereční
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	3	case
2	pražském	ADJ	3	amod
3	trhu	NOUN	5	obl
4	realit	NOUN	3	nmod
5	platí	VERB	0	root
6	odvozené	ADJ	8	amod
7	prodejní	ADJ	8	amod
8	ceny	NOUN	5	nsubj
9	ploch	NOUN	8	nmod
10	při	ADP	11	case
11	době	NOUN	8	nmod
12	návratnosti	NOUN	11	nmod
13	osmi	NUM	14	nummod
14	let	NOUN	11	nmod
15	zhruba	ADV	17	advmod:emph
16	v	ADP	17	case
17	rozmezí	NOUN	8	nmod
18	od	ADP	20	case
19	43	NUM	20	compound
20	tisíc	NUM	17	nummod
21	do	ADP	24	case
22	105	NUM	23	compound
23	tisíc	NUM	24	nummod:gov
24	korun	NOUN	17	nmod
25	za	ADP	26	case
26	metr	NOUN	24	nmod
27	čtvereční	ADJ	26	amod
28	.	PUNCT	5	punct