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:
Odborový svaz Kovo je ve stálém kontaktu s bavorským odborovým svazem kovoprůmyslu a elektroprůmyslu IG Metall a jeho představitelé možná navštíví stávkující německé odboráře.
Postion	Tokenization
1	Odborový
2	svaz
3	Kovo
4	je
5	ve
6	stálém
7	kontaktu
8	s
9	bavorským
10	odborovým
11	svazem
12	kovoprůmyslu
13	a
14	elektroprůmyslu
15	IG
16	Metall
17	a
18	jeho
19	představitelé
20	možná
21	navštíví
22	stávkující
23	německé
24	odboráře
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Odborový	ADJ	2	amod
2	svaz	NOUN	4	nsubj
3	Kovo	PROPN	2	nmod
4	je	VERB	0	root
5	ve	ADP	7	case
6	stálém	ADJ	7	amod
7	kontaktu	NOUN	4	obl
8	s	ADP	11	case
9	bavorským	ADJ	11	amod
10	odborovým	ADJ	11	amod
11	svazem	NOUN	7	nmod
12	kovoprůmyslu	NOUN	11	nmod
13	a	CCONJ	14	cc
14	elektroprůmyslu	NOUN	12	conj
15	IG	ADJ	11	amod
16	Metall	PROPN	15	nmod
17	a	CCONJ	21	cc
18	jeho	DET	19	det
19	představitelé	NOUN	21	nsubj
20	možná	ADV	21	advmod
21	navštíví	VERB	4	conj
22	stávkující	ADJ	24	amod
23	německé	ADJ	24	amod
24	odboráře	NOUN	21	obj
25	.	PUNCT	4	punct