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:
Má-li nemovitost hodnotu třeba třistatisíc korun, pak provize realitní kanceláře, které se pohybují mezi třemi až šesti procenty, vychází devět až osmnáct tisíc korun.
Postion	Tokenization
1	Má
2	-
3	li
4	nemovitost
5	hodnotu
6	třeba
7	třistatisíc
8	korun
9	,
10	pak
11	provize
12	realitní
13	kanceláře
14	,
15	které
16	se
17	pohybují
18	mezi
19	třemi
20	až
21	šesti
22	procenty
23	,
24	vychází
25	devět
26	až
27	osmnáct
28	tisíc
29	korun
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Má	VERB	24	advcl
2	-	PUNCT	1	punct
3	li	PART	1	mark
4	nemovitost	NOUN	1	nsubj
5	hodnotu	NOUN	1	obj
6	třeba	ADV	7	advmod:emph
7	třistatisíc	NOUN	5	nmod
8	korun	NOUN	7	nmod
9	,	PUNCT	1	punct
10	pak	ADV	24	advmod
11	provize	NOUN	24	nsubj
12	realitní	ADJ	13	amod
13	kanceláře	NOUN	11	nmod
14	,	PUNCT	17	punct
15	které	DET	17	nsubj
16	se	PRON	17	expl:pv
17	pohybují	VERB	11	acl:relcl
18	mezi	ADP	22	case
19	třemi	NUM	22	nummod
20	až	CCONJ	21	cc
21	šesti	NUM	19	conj
22	procenty	NOUN	17	obl
23	,	PUNCT	17	punct
24	vychází	VERB	0	root
25	devět	NUM	29	nummod:gov
26	až	CCONJ	27	cc
27	osmnáct	NUM	25	conj
28	tisíc	NUM	29	nummod:gov
29	korun	NOUN	24	obl
30	.	PUNCT	24	punct