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:
V posledních tropických letech navíc podle jeho slov přichází na králičí populaci jedna morová rána za druhou a v mnoha případech nepomůže ani včasné preventivní očkování.
Postion	Tokenization
1	V
2	posledních
3	tropických
4	letech
5	navíc
6	podle
7	jeho
8	slov
9	přichází
10	na
11	králičí
12	populaci
13	jedna
14	morová
15	rána
16	za
17	druhou
18	a
19	v
20	mnoha
21	případech
22	nepomůže
23	ani
24	včasné
25	preventivní
26	očkování
27	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	4	case
2	posledních	ADJ	4	amod
3	tropických	ADJ	4	amod
4	letech	NOUN	9	obl
5	navíc	ADV	9	advmod
6	podle	ADP	8	case
7	jeho	DET	8	det
8	slov	NOUN	9	obl
9	přichází	VERB	0	root
10	na	ADP	12	case
11	králičí	ADJ	12	amod
12	populaci	NOUN	9	obl
13	jedna	NUM	15	xcomp
14	morová	ADJ	15	amod
15	rána	NOUN	9	nsubj
16	za	ADP	17	case
17	druhou	ADJ	13	amod
18	a	CCONJ	22	cc
19	v	ADP	21	case
20	mnoha	DET	21	det:nummod
21	případech	NOUN	22	obl
22	nepomůže	VERB	9	conj
23	ani	CCONJ	26	advmod:emph
24	včasné	ADJ	26	amod
25	preventivní	ADJ	26	amod
26	očkování	NOUN	22	nsubj
27	.	PUNCT	9	punct