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:
Axiom nabízí biohrnec (rozumějte "nemoc - hrnec") za 599 korun, Jana už za 945 korun a Markest si svoji (ne)solidnost cení na 1209 korun.
Postion	Tokenization
1	Axiom
2	nabízí
3	biohrnec
4	(
5	rozumějte
6	"
7	nemoc
8	-
9	hrnec
10	"
11	)
12	za
13	599
14	korun
15	_
16	,
17	Jana
18	už
19	za
20	945
21	korun
22	a
23	Markest
24	si
25	svoji
26	(
27	ne
28	)
29	solidnost
30	cení
31	na
32	1209
33	korun
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Axiom	PROPN	2	nsubj
2	nabízí	VERB	0	root
3	biohrnec	NOUN	2	obj
4	(	PUNCT	5	punct
5	rozumějte	VERB	2	parataxis
6	"	PUNCT	9	punct
7	nemoc	NOUN	9	nmod
8	-	PUNCT	7	punct
9	hrnec	NOUN	5	obj
10	"	PUNCT	9	punct
11	)	PUNCT	5	punct
12	za	ADP	14	case
13	599	NUM	14	nummod:gov
14	korun	NOUN	2	obl
15	_	_	None	_
16	,	PUNCT	16	punct
17	Jana	PROPN	2	conj
18	už	ADV	19	advmod:emph
19	za	ADP	20	case
20	945	NUM	20	nummod:gov
21	korun	NOUN	16	orphan
22	a	CCONJ	29	cc
23	Markest	PROPN	29	nsubj
24	si	PRON	29	discourse
25	svoji	DET	28	det
26	(	PUNCT	26	punct
27	ne	PART	28	nmod
28	)	PUNCT	26	punct
29	solidnost	NOUN	29	obj
30	cení	VERB	2	conj
31	na	ADP	32	case
32	1209	NUM	32	nummod:gov
33	korun	NOUN	29	obl
34	.	PUNCT	2	punct