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:
* Nedávno proběhla světovým tiskem informace o tom, že odbory v United Airlines prosazují, abyste se stal generálním ředitelem této jedné z největších leteckých společností.
Postion	Tokenization
1	*
2	Nedávno
3	proběhla
4	světovým
5	tiskem
6	informace
7	o
8	tom
9	,
10	že
11	odbory
12	v
13	United
14	Airlines
15	prosazují
16	,
17	abyste
18	aby
19	byste
20	se
21	stal
22	generálním
23	ředitelem
24	této
25	jedné
26	z
27	největších
28	leteckých
29	společností
30	.
Position	Tokenization	UPOS	Head	Deprel
1	*	PUNCT	3	punct
2	Nedávno	ADV	3	advmod
3	proběhla	VERB	0	root
4	světovým	ADJ	5	amod
5	tiskem	NOUN	3	obl
6	informace	NOUN	3	nsubj
7	o	ADP	8	case
8	tom	DET	6	det
9	,	PUNCT	15	punct
10	že	SCONJ	15	mark
11	odbory	NOUN	15	nsubj
12	v	ADP	13	case
13	United	ADJ	11	nmod
14	Airlines	PROPN	13	flat:foreign
15	prosazují	VERB	8	acl
16	,	PUNCT	20	punct
17	abyste	_	None	_
18	aby	SCONJ	20	mark
19	byste	AUX	20	aux
20	se	PRON	20	expl:pv
21	stal	VERB	15	ccomp
22	generálním	ADJ	22	amod
23	ředitelem	NOUN	20	obl:arg
24	této	DET	24	det
25	jedné	NUM	22	nummod
26	z	ADP	28	case
27	největších	ADJ	28	amod
28	leteckých	ADJ	28	amod
29	společností	NOUN	24	nmod
30	.	PUNCT	3	punct