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 obrany Spojených států John Deutch upřesnil, že vojenský kontingent, který by měl invazi na Haiti podniknout, bude sestávat převážně z jednotek USA.
Postion	Tokenization
1	Náměstek
2	ministra
3	obrany
4	Spojených
5	států
6	John
7	Deutch
8	upřesnil
9	,
10	že
11	vojenský
12	kontingent
13	,
14	který
15	by
16	měl
17	invazi
18	na
19	Haiti
20	podniknout
21	,
22	bude
23	sestávat
24	převážně
25	z
26	jednotek
27	USA
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Náměstek	NOUN	8	nsubj
2	ministra	NOUN	1	nmod
3	obrany	NOUN	2	nmod
4	Spojených	ADJ	5	amod
5	států	NOUN	2	nmod
6	John	PROPN	1	flat
7	Deutch	PROPN	1	flat
8	upřesnil	VERB	0	root
9	,	PUNCT	23	punct
10	že	SCONJ	23	mark
11	vojenský	ADJ	12	amod
12	kontingent	NOUN	23	nsubj
13	,	PUNCT	16	punct
14	který	DET	16	nsubj
15	by	AUX	16	aux
16	měl	VERB	12	acl:relcl
17	invazi	NOUN	20	obj
18	na	ADP	19	case
19	Haiti	PROPN	17	nmod
20	podniknout	VERB	16	xcomp
21	,	PUNCT	16	punct
22	bude	AUX	23	aux
23	sestávat	VERB	8	ccomp
24	převážně	ADV	23	advmod
25	z	ADP	26	case
26	jednotek	NOUN	23	obl:arg
27	USA	PROPN	26	nmod
28	.	PUNCT	8	punct