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:
Náměstek ministra zahraničí USA Paul Tarnoff varoval vojenskou vládu na Haiti před domněnkou, že kvůli kubánské krizi budou USA věnovat menší pozornost situaci na Haiti.
Postion	Tokenization
1	Náměstek
2	ministra
3	zahraničí
4	USA
5	Paul
6	Tarnoff
7	varoval
8	vojenskou
9	vládu
10	na
11	Haiti
12	před
13	domněnkou
14	,
15	že
16	kvůli
17	kubánské
18	krizi
19	budou
20	USA
21	věnovat
22	menší
23	pozornost
24	situaci
25	na
26	Haiti
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Náměstek	NOUN	7	nsubj
2	ministra	NOUN	1	nmod
3	zahraničí	NOUN	2	nmod
4	USA	PROPN	2	nmod
5	Paul	PROPN	1	flat
6	Tarnoff	PROPN	1	flat
7	varoval	VERB	0	root
8	vojenskou	ADJ	9	amod
9	vládu	NOUN	7	obj
10	na	ADP	11	case
11	Haiti	PROPN	9	nmod
12	před	ADP	13	case
13	domněnkou	NOUN	7	obl:arg
14	,	PUNCT	21	punct
15	že	SCONJ	21	mark
16	kvůli	ADP	18	case
17	kubánské	ADJ	18	amod
18	krizi	NOUN	21	obl
19	budou	AUX	21	aux
20	USA	PROPN	21	nsubj
21	věnovat	VERB	13	acl
22	menší	ADJ	23	amod
23	pozornost	NOUN	21	obj
24	situaci	NOUN	21	obl:arg
25	na	ADP	26	case
26	Haiti	PROPN	24	nmod
27	.	PUNCT	7	punct