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:
Je však smutnou a známou skutečností, že Vargas Llosa strávil středoškolská léta na vojenském gymnáziu v Limě a že armádní mašinerii k smrti nenávidí.
Postion	Tokenization
1	Je
2	však
3	smutnou
4	a
5	známou
6	skutečností
7	,
8	že
9	Vargas
10	Llosa
11	strávil
12	středoškolská
13	léta
14	na
15	vojenském
16	gymnáziu
17	v
18	Limě
19	a
20	že
21	armádní
22	mašinerii
23	k
24	smrti
25	nenávidí
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Je	AUX	6	cop
2	však	CCONJ	6	cc
3	smutnou	ADJ	6	amod
4	a	CCONJ	5	cc
5	známou	ADJ	3	conj
6	skutečností	NOUN	0	root
7	,	PUNCT	11	punct
8	že	SCONJ	11	mark
9	Vargas	PROPN	11	nsubj
10	Llosa	PROPN	9	flat
11	strávil	VERB	6	csubj
12	středoškolská	ADJ	13	amod
13	léta	NOUN	11	obl
14	na	ADP	16	case
15	vojenském	ADJ	16	amod
16	gymnáziu	NOUN	11	obl
17	v	ADP	18	case
18	Limě	PROPN	16	nmod
19	a	CCONJ	25	cc
20	že	SCONJ	25	mark
21	armádní	ADJ	22	amod
22	mašinerii	NOUN	25	obj
23	k	ADP	24	case
24	smrti	NOUN	25	obl
25	nenávidí	VERB	11	conj
26	.	PUNCT	6	punct