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:
V této chvíli to vypadá, že dokumenty budou schváleny velmi těsnou většinou," řekl nám k tomu včera v Bruselu tiskový mluvčí Komise EU Bruno Dethomas.
Postion	Tokenization
1	V
2	této
3	chvíli
4	to
5	vypadá
6	,
7	že
8	dokumenty
9	budou
10	schváleny
11	velmi
12	těsnou
13	většinou
14	,
15	"
16	řekl
17	nám
18	k
19	tomu
20	včera
21	v
22	Bruselu
23	tiskový
24	mluvčí
25	Komise
26	EU
27	Bruno
28	Dethomas
29	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	této	DET	3	det
3	chvíli	NOUN	5	obl
4	to	DET	5	nsubj
5	vypadá	VERB	16	ccomp
6	,	PUNCT	10	punct
7	že	SCONJ	10	mark
8	dokumenty	NOUN	10	nsubj:pass
9	budou	AUX	10	aux:pass
10	schváleny	ADJ	5	obl
11	velmi	ADV	12	advmod
12	těsnou	ADJ	13	amod
13	většinou	NOUN	10	obl
14	,	PUNCT	10	punct
15	"	PUNCT	5	punct
16	řekl	VERB	0	root
17	nám	PRON	16	obl:arg
18	k	ADP	19	case
19	tomu	DET	16	obl:arg
20	včera	ADV	16	advmod
21	v	ADP	22	case
22	Bruselu	PROPN	16	obl
23	tiskový	ADJ	24	amod
24	mluvčí	NOUN	16	nsubj
25	Komise	NOUN	24	nmod
26	EU	PROPN	25	nmod
27	Bruno	PROPN	24	flat
28	Dethomas	PROPN	24	flat
29	.	PUNCT	16	punct