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 ostatních pražských obvodech se ceny pronájmu za jeden metr čtvereční pohybují od 25 do 50 marek měsíčně, což v přepočtu činí 5400 Kč až 10800 Kč za rok.
Postion	Tokenization
1	V
2	ostatních
3	pražských
4	obvodech
5	se
6	ceny
7	pronájmu
8	za
9	jeden
10	metr
11	čtvereční
12	pohybují
13	od
14	25
15	do
16	50
17	marek
18	měsíčně
19	,
20	což
21	v
22	přepočtu
23	činí
24	5400
25	Kč
26	až
27	10800
28	Kč
29	za
30	rok
31	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	4	case
2	ostatních	ADJ	4	amod
3	pražských	ADJ	4	amod
4	obvodech	NOUN	12	obl
5	se	PRON	12	expl:pv
6	ceny	NOUN	12	nsubj
7	pronájmu	NOUN	6	nmod
8	za	ADP	10	case
9	jeden	NUM	10	nummod
10	metr	NOUN	7	nmod
11	čtvereční	ADJ	10	amod
12	pohybují	VERB	0	root
13	od	ADP	14	case
14	25	NUM	12	dep
15	do	ADP	17	case
16	50	NUM	17	nummod
17	marek	NOUN	12	obl
18	měsíčně	ADV	17	advmod
19	,	PUNCT	23	punct
20	což	PRON	23	nsubj
21	v	ADP	22	case
22	přepočtu	NOUN	23	obl
23	činí	VERB	12	conj
24	5400	NUM	23	obj
25	Kč	NOUN	24	nmod
26	až	CCONJ	27	cc
27	10800	NUM	24	conj
28	Kč	NOUN	27	nmod
29	za	ADP	30	case
30	rok	NOUN	24	nmod
31	.	PUNCT	12	punct