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:
Skloform chce moderním vybavením stomatologické laboratoře přilákat zákazníky z Rakouska, pro něž jsou dentistické úkony v České republice finančně výhodné.
Postion	Tokenization
1	Skloform
2	chce
3	moderním
4	vybavením
5	stomatologické
6	laboratoře
7	přilákat
8	zákazníky
9	z
10	Rakouska
11	,
12	pro
13	něž
14	jsou
15	dentistické
16	úkony
17	v
18	České
19	republice
20	finančně
21	výhodné
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Skloform	PROPN	2	nsubj
2	chce	VERB	0	root
3	moderním	ADJ	4	amod
4	vybavením	NOUN	7	obl
5	stomatologické	ADJ	6	amod
6	laboratoře	NOUN	4	nmod
7	přilákat	VERB	2	xcomp
8	zákazníky	NOUN	7	obj
9	z	ADP	10	case
10	Rakouska	PROPN	8	nmod
11	,	PUNCT	21	punct
12	pro	ADP	13	case
13	něž	PRON	21	obl
14	jsou	AUX	21	cop
15	dentistické	ADJ	16	amod
16	úkony	NOUN	21	nsubj
17	v	ADP	19	case
18	České	ADJ	19	amod
19	republice	NOUN	16	nmod
20	finančně	ADV	21	advmod
21	výhodné	ADJ	8	acl:relcl
22	.	PUNCT	2	punct