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:
Suvorov se spíše vyrovnává se svou tragickou minulostí (byl profesionálním agentem KGB a uprchl do Británie) a překonává patrně poslední velký mýtus ruského národa - Velkou vlasteneckou válku.
Postion	Tokenization
1	Suvorov
2	se
3	spíše
4	vyrovnává
5	se
6	svou
7	tragickou
8	minulostí
9	(
10	byl
11	profesionálním
12	agentem
13	KGB
14	a
15	uprchl
16	do
17	Británie
18	)
19	a
20	překonává
21	patrně
22	poslední
23	velký
24	mýtus
25	ruského
26	národa
27	-
28	Velkou
29	vlasteneckou
30	válku
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Suvorov	PROPN	4	nsubj
2	se	PRON	4	expl:pv
3	spíše	ADV	4	advmod
4	vyrovnává	VERB	0	root
5	se	ADP	8	case
6	svou	DET	8	det
7	tragickou	ADJ	8	amod
8	minulostí	NOUN	4	obl:arg
9	(	PUNCT	12	punct
10	byl	AUX	12	cop
11	profesionálním	ADJ	12	amod
12	agentem	NOUN	4	parataxis
13	KGB	PROPN	12	nmod
14	a	CCONJ	15	cc
15	uprchl	VERB	12	conj
16	do	ADP	17	case
17	Británie	PROPN	15	obl
18	)	PUNCT	12	punct
19	a	CCONJ	20	cc
20	překonává	VERB	4	conj
21	patrně	ADV	22	cc
22	poslední	ADJ	24	amod
23	velký	ADJ	24	amod
24	mýtus	NOUN	20	obj
25	ruského	ADJ	26	amod
26	národa	NOUN	24	nmod
27	-	PUNCT	30	punct
28	Velkou	ADJ	30	amod
29	vlasteneckou	ADJ	30	amod
30	válku	NOUN	24	appos
31	.	PUNCT	4	punct