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:
Hospodářský výbor Parlamentu České republiky nemůže za Tatru vyřešit její problémy, řekl včera po návštěvě některých jeho členů v Tatře Kopřivnici její generální ředitel Karel Beneda.
Postion	Tokenization
1	Hospodářský
2	výbor
3	Parlamentu
4	České
5	republiky
6	nemůže
7	za
8	Tatru
9	vyřešit
10	její
11	problémy
12	,
13	řekl
14	včera
15	po
16	návštěvě
17	některých
18	jeho
19	členů
20	v
21	Tatře
22	Kopřivnici
23	její
24	generální
25	ředitel
26	Karel
27	Beneda
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Hospodářský	ADJ	2	amod
2	výbor	NOUN	6	nsubj
3	Parlamentu	NOUN	2	nmod
4	České	ADJ	5	amod
5	republiky	NOUN	3	nmod
6	nemůže	VERB	13	ccomp
7	za	ADP	8	case
8	Tatru	PROPN	9	obl
9	vyřešit	VERB	6	xcomp
10	její	DET	11	det
11	problémy	NOUN	9	obj
12	,	PUNCT	6	punct
13	řekl	VERB	0	root
14	včera	ADV	13	advmod
15	po	ADP	16	case
16	návštěvě	NOUN	13	obl
17	některých	DET	19	det
18	jeho	DET	19	det
19	členů	NOUN	16	nmod
20	v	ADP	21	case
21	Tatře	PROPN	16	nmod
22	Kopřivnici	PROPN	21	nmod
23	její	DET	25	det
24	generální	ADJ	25	amod
25	ředitel	NOUN	13	nsubj
26	Karel	PROPN	25	flat
27	Beneda	PROPN	25	flat
28	.	PUNCT	13	punct