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:
Pokud ani Verovo včerejší zatčení španělského předsedu vlády nepřesvědčí, že je třeba celou kauzu obyvatelstvu vysvětlit lépe, než to dělal doposud, spáchá González politickou sebevraždu.
Postion	Tokenization
1	Pokud
2	ani
3	Verovo
4	včerejší
5	zatčení
6	španělského
7	předsedu
8	vlády
9	nepřesvědčí
10	,
11	že
12	je
13	třeba
14	celou
15	kauzu
16	obyvatelstvu
17	vysvětlit
18	lépe
19	,
20	než
21	to
22	dělal
23	doposud
24	,
25	spáchá
26	González
27	politickou
28	sebevraždu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Pokud	SCONJ	9	mark
2	ani	CCONJ	5	advmod:emph
3	Verovo	ADJ	5	amod
4	včerejší	ADJ	5	amod
5	zatčení	NOUN	9	nsubj
6	španělského	ADJ	7	amod
7	předsedu	NOUN	9	iobj
8	vlády	NOUN	7	nmod
9	nepřesvědčí	VERB	25	advcl
10	,	PUNCT	13	punct
11	že	SCONJ	13	mark
12	je	AUX	13	cop
13	třeba	ADJ	9	ccomp
14	celou	ADJ	15	amod
15	kauzu	NOUN	17	obj
16	obyvatelstvu	NOUN	17	obl:arg
17	vysvětlit	VERB	13	csubj
18	lépe	ADV	17	advmod
19	,	PUNCT	22	punct
20	než	SCONJ	22	mark
21	to	DET	22	obj
22	dělal	VERB	18	advcl
23	doposud	ADV	22	advmod
24	,	PUNCT	9	punct
25	spáchá	VERB	0	root
26	González	PROPN	25	nsubj
27	politickou	ADJ	28	amod
28	sebevraždu	NOUN	25	obj
29	.	PUNCT	25	punct