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:
CERAMITEC - 6. mezinárodní odborný veletrh strojů, přístrojů, zařízení, řízení a surovin pro celou keramickou a práškovou metalurgii: 11. - 15 . 10 .
Postion	Tokenization
1	CERAMITEC
2	-
3	6
4	.
5	mezinárodní
6	odborný
7	veletrh
8	strojů
9	,
10	přístrojů
11	,
12	zařízení
13	,
14	řízení
15	a
16	surovin
17	pro
18	celou
19	keramickou
20	a
21	práškovou
22	metalurgii
23	:
24	11
25	.
26	-
27	15
28	.
29	10
30	.
Position	Tokenization	UPOS	Head	Deprel
1	CERAMITEC	PROPN	0	root
2	-	PUNCT	7	punct
3	6	NUM	7	nummod
4	.	PUNCT	3	punct
5	mezinárodní	ADJ	7	amod
6	odborný	ADJ	7	amod
7	veletrh	NOUN	1	appos
8	strojů	NOUN	7	nmod
9	,	PUNCT	10	punct
10	přístrojů	NOUN	8	conj
11	,	PUNCT	12	punct
12	zařízení	NOUN	8	conj
13	,	PUNCT	14	punct
14	řízení	NOUN	8	conj
15	a	CCONJ	16	cc
16	surovin	NOUN	8	conj
17	pro	ADP	22	case
18	celou	ADJ	22	amod
19	keramickou	ADJ	22	amod
20	a	CCONJ	21	cc
21	práškovou	ADJ	19	conj
22	metalurgii	NOUN	16	nmod
23	:	PUNCT	1	punct
24	11	NUM	29	compound
25	.	PUNCT	24	punct
26	-	PUNCT	27	punct
27	15	NUM	24	conj
28	.	PUNCT	27	punct
29	10	NUM	1	appos
30	.	PUNCT	1	punct