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:
Právě to, co oba protagonisté potřebovali: Boross prokázal, že nejen opoziční politici, ale i on je s to navázat přátelské, korektní kontakty se severním sousedem;
Postion	Tokenization
1	Právě
2	to
3	,
4	co
5	oba
6	protagonisté
7	potřebovali
8	:
9	Boross
10	prokázal
11	,
12	že
13	nejen
14	opoziční
15	politici
16	,
17	ale
18	i
19	on
20	je
21	s
22	to
23	navázat
24	přátelské
25	,
26	korektní
27	kontakty
28	se
29	severním
30	sousedem
31	;
Position	Tokenization	UPOS	Head	Deprel
1	Právě	ADV	2	advmod:emph
2	to	DET	0	root
3	,	PUNCT	7	punct
4	co	PRON	7	obj
5	oba	NUM	6	nummod
6	protagonisté	NOUN	7	nsubj
7	potřebovali	VERB	2	acl:relcl
8	:	PUNCT	10	punct
9	Boross	PROPN	10	nsubj
10	prokázal	VERB	7	appos
11	,	PUNCT	22	punct
12	že	SCONJ	22	mark
13	nejen	PART	15	advmod:emph
14	opoziční	ADJ	15	amod
15	politici	NOUN	22	nsubj
16	,	PUNCT	19	punct
17	ale	CCONJ	19	cc
18	i	CCONJ	19	advmod:emph
19	on	PRON	15	conj
20	je	AUX	22	cop
21	s	ADP	22	case
22	to	PART	10	ccomp
23	navázat	VERB	22	xcomp
24	přátelské	ADJ	27	amod
25	,	PUNCT	26	punct
26	korektní	ADJ	24	conj
27	kontakty	NOUN	23	obj
28	se	ADP	30	case
29	severním	ADJ	30	amod
30	sousedem	NOUN	27	nmod
31	;	PUNCT	2	punct