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:
Asi sto návštěvníků denně využívá možnost nechat si změřit cholesterol v krvi, kterou na agrosalonu Země Živitelka v Českých Budějovicích nabízí Krajská hygienická stanice.
Postion	Tokenization
1	Asi
2	sto
3	návštěvníků
4	denně
5	využívá
6	možnost
7	nechat
8	si
9	změřit
10	cholesterol
11	v
12	krvi
13	,
14	kterou
15	na
16	agrosalonu
17	Země
18	Živitelka
19	v
20	Českých
21	Budějovicích
22	nabízí
23	Krajská
24	hygienická
25	stanice
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Asi	PART	2	advmod:emph
2	sto	NOUN	5	nsubj
3	návštěvníků	NOUN	2	nmod
4	denně	ADV	2	advmod
5	využívá	VERB	0	root
6	možnost	NOUN	5	obj
7	nechat	VERB	6	acl
8	si	PRON	9	obl:arg
9	změřit	VERB	7	xcomp
10	cholesterol	NOUN	9	obj
11	v	ADP	12	case
12	krvi	NOUN	10	nmod
13	,	PUNCT	22	punct
14	kterou	DET	22	obj
15	na	ADP	16	case
16	agrosalonu	NOUN	22	obl
17	Země	NOUN	16	nmod
18	Živitelka	NOUN	17	nmod
19	v	ADP	21	case
20	Českých	ADJ	21	amod
21	Budějovicích	PROPN	16	nmod
22	nabízí	VERB	6	acl:relcl
23	Krajská	ADJ	25	amod
24	hygienická	ADJ	25	amod
25	stanice	NOUN	22	nsubj
26	.	PUNCT	5	punct