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:
Velmi dobrý hokej a vítězství 5:3 české reprezentace nad Ruskem vidělo zhruba 3000 diváků v zahajovacím utkání turnaje Pragobanka Cup '94 ve Zlíně.
Postion	Tokenization
1	Velmi
2	dobrý
3	hokej
4	a
5	vítězství
6	5
7	:
8	3
9	české
10	reprezentace
11	nad
12	Ruskem
13	vidělo
14	zhruba
15	3000
16	diváků
17	v
18	zahajovacím
19	utkání
20	turnaje
21	Pragobanka
22	Cup
23	'
24	94
25	ve
26	Zlíně
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Velmi	ADV	2	advmod
2	dobrý	ADJ	3	amod
3	hokej	NOUN	13	obj
4	a	CCONJ	5	cc
5	vítězství	NOUN	3	conj
6	5	NUM	5	nummod
7	:	PUNCT	8	punct
8	3	NUM	6	conj
9	české	ADJ	10	amod
10	reprezentace	NOUN	5	nmod
11	nad	ADP	12	case
12	Ruskem	PROPN	5	nmod
13	vidělo	VERB	0	root
14	zhruba	ADV	15	advmod:emph
15	3000	NUM	16	nummod:gov
16	diváků	NOUN	13	nsubj
17	v	ADP	19	case
18	zahajovacím	ADJ	19	amod
19	utkání	NOUN	13	obl
20	turnaje	NOUN	19	nmod
21	Pragobanka	NOUN	22	nmod
22	Cup	PROPN	20	nmod
23	'	PUNCT	24	punct
24	94	NUM	22	nummod
25	ve	ADP	26	case
26	Zlíně	PROPN	20	nmod
27	.	PUNCT	13	punct