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:
Ceny pštrosího masa, které obsahuje jen velmi málo cholesterolu, se totiž v Evropě podle Šustkových informací pohybují v přepočtu na úrovni 800 až 500 korun za kilogram.
Postion	Tokenization
1	Ceny
2	pštrosího
3	masa
4	,
5	které
6	obsahuje
7	jen
8	velmi
9	málo
10	cholesterolu
11	,
12	se
13	totiž
14	v
15	Evropě
16	podle
17	Šustkových
18	informací
19	pohybují
20	v
21	přepočtu
22	na
23	úrovni
24	800
25	až
26	500
27	korun
28	za
29	kilogram
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Ceny	NOUN	19	nsubj
2	pštrosího	ADJ	3	amod
3	masa	NOUN	1	nmod
4	,	PUNCT	6	punct
5	které	DET	6	nsubj
6	obsahuje	VERB	3	acl:relcl
7	jen	PART	9	advmod:emph
8	velmi	ADV	9	advmod
9	málo	DET	10	det:numgov
10	cholesterolu	NOUN	6	obj
11	,	PUNCT	6	punct
12	se	PRON	19	expl:pv
13	totiž	ADV	19	advmod
14	v	ADP	15	case
15	Evropě	PROPN	19	obl
16	podle	ADP	18	case
17	Šustkových	ADJ	18	amod
18	informací	NOUN	19	obl
19	pohybují	VERB	0	root
20	v	ADP	21	case
21	přepočtu	NOUN	19	obl
22	na	ADP	27	case
23	úrovni	NOUN	22	fixed
24	800	NUM	27	nummod:gov
25	až	CCONJ	26	cc
26	500	NUM	24	conj
27	korun	NOUN	19	obl
28	za	ADP	29	case
29	kilogram	NOUN	27	nmod
30	.	PUNCT	19	punct