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:
Firma si totiž dává zpracovat studii, která má také určit optimální rozmístění strojů v daném prostoru, aby se eliminoval nadbytečný pohyb materiálu a lidé se zbytečně nenaběhali.
Postion	Tokenization
1	Firma
2	si
3	totiž
4	dává
5	zpracovat
6	studii
7	,
8	která
9	má
10	také
11	určit
12	optimální
13	rozmístění
14	strojů
15	v
16	daném
17	prostoru
18	,
19	aby
20	aby
21	by
22	se
23	eliminoval
24	nadbytečný
25	pohyb
26	materiálu
27	a
28	lidé
29	se
30	zbytečně
31	nenaběhali
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Firma	NOUN	4	nsubj
2	si	PRON	5	obl
3	totiž	ADV	4	advmod
4	dává	VERB	0	root
5	zpracovat	VERB	4	xcomp
6	studii	NOUN	5	obj
7	,	PUNCT	9	punct
8	která	DET	9	nsubj
9	má	VERB	6	acl:relcl
10	také	ADV	9	advmod
11	určit	VERB	9	xcomp
12	optimální	ADJ	13	amod
13	rozmístění	NOUN	11	obj
14	strojů	NOUN	13	nmod
15	v	ADP	17	case
16	daném	ADJ	17	amod
17	prostoru	NOUN	13	nmod
18	,	PUNCT	22	punct
19	aby	_	None	_
20	aby	SCONJ	22	mark
21	by	AUX	22	aux
22	se	PRON	22	expl:pass
23	eliminoval	VERB	11	advcl
24	nadbytečný	ADJ	24	amod
25	pohyb	NOUN	22	nsubj:pass
26	materiálu	NOUN	24	nmod
27	a	CCONJ	30	cc
28	lidé	NOUN	30	nsubj
29	se	PRON	30	expl:pv
30	zbytečně	ADV	30	advmod
31	nenaběhali	VERB	22	conj
32	.	PUNCT	4	punct