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:
Například v oddělení výroby hřídelí planetových ozubených kol se mi pochlubili, že se jim podařilo zkrátit trasu pohybu dílu při výrobě až o 92 %.
Postion	Tokenization
1	Například
2	v
3	oddělení
4	výroby
5	hřídelí
6	planetových
7	ozubených
8	kol
9	se
10	mi
11	pochlubili
12	,
13	že
14	se
15	jim
16	podařilo
17	zkrátit
18	trasu
19	pohybu
20	dílu
21	při
22	výrobě
23	až
24	o
25	92
26	%
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Například	ADV	11	advmod
2	v	ADP	3	case
3	oddělení	NOUN	11	obl
4	výroby	NOUN	3	nmod
5	hřídelí	NOUN	4	nmod
6	planetových	ADJ	8	amod
7	ozubených	ADJ	8	amod
8	kol	NOUN	5	nmod
9	se	PRON	11	expl:pv
10	mi	PRON	11	obl:arg
11	pochlubili	VERB	0	root
12	,	PUNCT	16	punct
13	že	SCONJ	16	mark
14	se	PRON	16	expl:pv
15	jim	PRON	16	obl:arg
16	podařilo	VERB	11	ccomp
17	zkrátit	VERB	16	csubj
18	trasu	NOUN	17	obj
19	pohybu	NOUN	18	nmod
20	dílu	NOUN	19	nmod
21	při	ADP	22	case
22	výrobě	NOUN	17	obl
23	až	PART	25	advmod:emph
24	o	ADP	25	case
25	92	NUM	17	obl
26	%	SYM	25	nmod
27	.	PUNCT	11	punct