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:
To platí i pro ctihodné konšely poučující se o geniálním systémovém řešení, k němuž se Vargas Llosa nezištně dopracoval ve prospěch větší bojeschopnosti peruánského vojska.
Postion	Tokenization
1	To
2	platí
3	i
4	pro
5	ctihodné
6	konšely
7	poučující
8	se
9	o
10	geniálním
11	systémovém
12	řešení
13	,
14	k
15	němuž
16	se
17	Vargas
18	Llosa
19	nezištně
20	dopracoval
21	ve
22	prospěch
23	větší
24	bojeschopnosti
25	peruánského
26	vojska
27	.
Position	Tokenization	UPOS	Head	Deprel
1	To	DET	2	nsubj
2	platí	VERB	0	root
3	i	CCONJ	6	advmod:emph
4	pro	ADP	6	case
5	ctihodné	ADJ	6	amod
6	konšely	NOUN	2	obl
7	poučující	ADJ	6	amod
8	se	PRON	7	expl:pv
9	o	ADP	12	case
10	geniálním	ADJ	12	amod
11	systémovém	ADJ	12	amod
12	řešení	NOUN	7	obl:arg
13	,	PUNCT	20	punct
14	k	ADP	15	case
15	němuž	PRON	20	obl
16	se	PRON	20	expl:pv
17	Vargas	PROPN	20	nsubj
18	Llosa	PROPN	17	flat
19	nezištně	ADV	20	advmod
20	dopracoval	VERB	12	acl:relcl
21	ve	ADP	24	case
22	prospěch	NOUN	21	fixed
23	větší	ADJ	24	amod
24	bojeschopnosti	NOUN	20	obl
25	peruánského	ADJ	26	amod
26	vojska	NOUN	24	nmod
27	.	PUNCT	2	punct