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:
První cesta vede do tetovacího studia, kde neodborné obrázky překryjí jiné, snad lepší, ovšem větší, druhá do kosmetického salónu, kde si lze nechat kůži vybrousit.
Postion	Tokenization
1	První
2	cesta
3	vede
4	do
5	tetovacího
6	studia
7	,
8	kde
9	neodborné
10	obrázky
11	překryjí
12	jiné
13	,
14	snad
15	lepší
16	,
17	ovšem
18	větší
19	_
20	,
21	druhá
22	do
23	kosmetického
24	salónu
25	,
26	kde
27	si
28	lze
29	nechat
30	kůži
31	vybrousit
32	.
Position	Tokenization	UPOS	Head	Deprel
1	První	ADJ	2	amod
2	cesta	NOUN	3	nsubj
3	vede	VERB	0	root
4	do	ADP	6	case
5	tetovacího	ADJ	6	amod
6	studia	NOUN	3	obl
7	,	PUNCT	11	punct
8	kde	ADV	11	advmod
9	neodborné	ADJ	10	amod
10	obrázky	NOUN	11	obj
11	překryjí	VERB	6	acl:relcl
12	jiné	ADJ	11	dep
13	,	PUNCT	15	punct
14	snad	ADV	15	advmod:emph
15	lepší	ADJ	12	conj
16	,	PUNCT	18	punct
17	ovšem	PART	18	cc
18	větší	ADJ	12	conj
19	_	_	None	_
20	,	PUNCT	20	punct
21	druhá	ADJ	3	conj
22	do	ADP	23	case
23	kosmetického	ADJ	23	amod
24	salónu	NOUN	20	orphan
25	,	PUNCT	27	punct
26	kde	ADV	27	advmod
27	si	PRON	30	obl
28	lze	VERB	23	acl:relcl
29	nechat	VERB	27	csubj
30	kůži	NOUN	30	obj
31	vybrousit	VERB	28	xcomp
32	.	PUNCT	3	punct