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:
Tento bývalý pragmatický ekonom odborů uvedl, že předčasné vypsání voleb umožní nové vládě okamžitě začít seriózně pracovat již 4. října, kdy začíná nové zasedání parlamentu.
Postion	Tokenization
1	Tento
2	bývalý
3	pragmatický
4	ekonom
5	odborů
6	uvedl
7	,
8	že
9	předčasné
10	vypsání
11	voleb
12	umožní
13	nové
14	vládě
15	okamžitě
16	začít
17	seriózně
18	pracovat
19	již
20	4
21	.
22	října
23	,
24	kdy
25	začíná
26	nové
27	zasedání
28	parlamentu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Tento	DET	4	det
2	bývalý	ADJ	4	amod
3	pragmatický	ADJ	4	amod
4	ekonom	NOUN	6	nsubj
5	odborů	NOUN	4	nmod
6	uvedl	VERB	0	root
7	,	PUNCT	12	punct
8	že	SCONJ	12	mark
9	předčasné	ADJ	10	amod
10	vypsání	NOUN	12	nsubj
11	voleb	NOUN	10	nmod
12	umožní	VERB	6	ccomp
13	nové	ADJ	14	amod
14	vládě	NOUN	12	obl:arg
15	okamžitě	ADV	16	advmod
16	začít	VERB	12	xcomp
17	seriózně	ADV	18	advmod
18	pracovat	VERB	16	xcomp
19	již	ADV	22	advmod:emph
20	4	NUM	22	nummod
21	.	PUNCT	20	punct
22	října	NOUN	16	obl
23	,	PUNCT	25	punct
24	kdy	ADV	25	advmod
25	začíná	VERB	22	acl:relcl
26	nové	ADJ	27	amod
27	zasedání	NOUN	25	nsubj
28	parlamentu	NOUN	27	nmod
29	.	PUNCT	6	punct