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:
Tato zprostředkovatelská firma má dokonce pro svoji potřebu zaregistrováno několik firemních jmen (prefabricated nebo ready made names), ze kterých si zájemce vybere a tím celou proceduru ještě zrychlí.
Postion	Tokenization
1	Tato
2	zprostředkovatelská
3	firma
4	má
5	dokonce
6	pro
7	svoji
8	potřebu
9	zaregistrováno
10	několik
11	firemních
12	jmen
13	(
14	prefabricated
15	nebo
16	ready
17	made
18	names
19	)
20	,
21	ze
22	kterých
23	si
24	zájemce
25	vybere
26	a
27	tím
28	celou
29	proceduru
30	ještě
31	zrychlí
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Tato	DET	3	det
2	zprostředkovatelská	ADJ	3	amod
3	firma	NOUN	4	nsubj
4	má	VERB	0	root
5	dokonce	ADV	4	advmod:emph
6	pro	ADP	8	case
7	svoji	DET	8	det
8	potřebu	NOUN	4	obl
9	zaregistrováno	ADJ	10	xcomp
10	několik	DET	12	det:numgov
11	firemních	ADJ	12	amod
12	jmen	NOUN	4	obj
13	(	PUNCT	14	punct
14	prefabricated	ADJ	12	dep
15	nebo	CCONJ	17	cc
16	ready	ADJ	17	obl
17	made	ADJ	14	conj
18	names	NOUN	17	flat:foreign
19	)	PUNCT	14	punct
20	,	PUNCT	25	punct
21	ze	ADP	22	case
22	kterých	DET	25	obl
23	si	PRON	25	expl:pv
24	zájemce	NOUN	25	nsubj
25	vybere	VERB	12	acl:relcl
26	a	CCONJ	31	cc
27	tím	DET	31	obl
28	celou	ADJ	29	amod
29	proceduru	NOUN	31	obj
30	ještě	ADV	31	advmod:emph
31	zrychlí	VERB	25	conj
32	.	PUNCT	4	punct