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:
Nejméně tři z nich - Francie, Británie a USA - by je podle všeho proti Bělehradu byly ochotny použít, pokud zásadně nezmění svou politiku.
Postion	Tokenization
1	Nejméně
2	tři
3	z
4	nich
5	-
6	Francie
7	,
8	Británie
9	a
10	USA
11	-
12	by
13	je
14	podle
15	všeho
16	proti
17	Bělehradu
18	byly
19	ochotny
20	použít
21	,
22	pokud
23	zásadně
24	nezmění
25	svou
26	politiku
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Nejméně	ADV	2	advmod:emph
2	tři	NUM	19	nsubj
3	z	ADP	4	case
4	nich	PRON	2	nmod
5	-	PUNCT	6	punct
6	Francie	PROPN	2	appos
7	,	PUNCT	8	punct
8	Británie	PROPN	6	conj
9	a	CCONJ	10	cc
10	USA	PROPN	6	conj
11	-	PUNCT	6	punct
12	by	AUX	19	aux
13	je	PRON	20	obj
14	podle	ADP	15	case
15	všeho	DET	19	obl
16	proti	ADP	17	case
17	Bělehradu	PROPN	20	obl
18	byly	AUX	19	cop
19	ochotny	ADJ	0	root
20	použít	VERB	19	xcomp
21	,	PUNCT	24	punct
22	pokud	SCONJ	24	mark
23	zásadně	ADV	24	advmod
24	nezmění	VERB	19	advcl
25	svou	DET	26	det
26	politiku	NOUN	24	obj
27	.	PUNCT	19	punct