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:
Oficiální rozhodnutí předběhl také český ministr průmyslu a obchodu Vladimír Dlouhý, který v souvislosti s problémy plzeňské Škodovky prohlásil, že vláda výstavbu jaderného gigantu nezpochybňuje.
Postion	Tokenization
1	Oficiální
2	rozhodnutí
3	předběhl
4	také
5	český
6	ministr
7	průmyslu
8	a
9	obchodu
10	Vladimír
11	Dlouhý
12	,
13	který
14	v
15	souvislosti
16	s
17	problémy
18	plzeňské
19	Škodovky
20	prohlásil
21	,
22	že
23	vláda
24	výstavbu
25	jaderného
26	gigantu
27	nezpochybňuje
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Oficiální	ADJ	2	amod
2	rozhodnutí	NOUN	3	obj
3	předběhl	VERB	0	root
4	také	ADV	6	advmod:emph
5	český	ADJ	6	amod
6	ministr	NOUN	3	nsubj
7	průmyslu	NOUN	6	nmod
8	a	CCONJ	9	cc
9	obchodu	NOUN	7	conj
10	Vladimír	PROPN	6	flat
11	Dlouhý	PROPN	6	flat
12	,	PUNCT	20	punct
13	který	DET	20	nsubj
14	v	ADP	17	case
15	souvislosti	NOUN	14	fixed
16	s	ADP	14	fixed
17	problémy	NOUN	20	obl
18	plzeňské	ADJ	19	amod
19	Škodovky	NOUN	17	nmod
20	prohlásil	VERB	6	acl:relcl
21	,	PUNCT	27	punct
22	že	SCONJ	27	mark
23	vláda	NOUN	27	nsubj
24	výstavbu	NOUN	27	obj
25	jaderného	ADJ	26	amod
26	gigantu	NOUN	24	nmod
27	nezpochybňuje	VERB	20	ccomp
28	.	PUNCT	3	punct