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:
U nás nejznámější tetovací studio funguje pod dohledem hygienika, používá přírodní barviva a jehly nakupuje ve zdravotnictví, zavařené ve sterilních fóliích.
Postion	Tokenization
1	U
2	nás
3	nejznámější
4	tetovací
5	studio
6	funguje
7	pod
8	dohledem
9	hygienika
10	,
11	používá
12	přírodní
13	barviva
14	a
15	jehly
16	nakupuje
17	ve
18	zdravotnictví
19	,
20	zavařené
21	ve
22	sterilních
23	fóliích
24	.
Position	Tokenization	UPOS	Head	Deprel
1	U	ADP	2	case
2	nás	PRON	3	obl
3	nejznámější	ADJ	5	amod
4	tetovací	ADJ	5	amod
5	studio	NOUN	6	nsubj
6	funguje	VERB	0	root
7	pod	ADP	8	case
8	dohledem	NOUN	6	obl
9	hygienika	NOUN	8	nmod
10	,	PUNCT	11	punct
11	používá	VERB	6	conj
12	přírodní	ADJ	13	amod
13	barviva	NOUN	11	obj
14	a	CCONJ	16	cc
15	jehly	NOUN	16	obj
16	nakupuje	VERB	6	conj
17	ve	ADP	18	case
18	zdravotnictví	NOUN	16	obl
19	,	PUNCT	20	punct
20	zavařené	ADJ	15	xcomp
21	ve	ADP	23	case
22	sterilních	ADJ	23	amod
23	fóliích	NOUN	20	obl
24	.	PUNCT	6	punct