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:
Pero dice Larra que - con su concurso nada le queda que hacer al valor si no morir, porque la destreza es infame si hay superioridad e inútil si hay igualdad -.
Postion	Tokenization
1	Pero
2	dice
3	Larra
4	que
5	-
6	con
7	su
8	concurso
9	nada
10	le
11	queda
12	que
13	hacer
14	al
15	valor
16	si
17	no
18	morir
19	,
20	porque
21	la
22	destreza
23	es
24	infame
25	si
26	hay
27	superioridad
28	e
29	inútil
30	si
31	hay
32	igualdad
33	-
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	2	advmod
2	dice	VERB	0	root
3	Larra	PROPN	2	nsubj
4	que	SCONJ	11	mark
5	-	PUNCT	11	punct
6	con	ADP	8	case
7	su	DET	8	det
8	concurso	NOUN	11	obl
9	nada	PRON	11	nsubj
10	le	PRON	11	obj
11	queda	VERB	2	ccomp
12	que	PRON	13	obj
13	hacer	VERB	11	advcl
14	al	ADP	15	case
15	valor	NOUN	11	obj
16	si	SCONJ	18	mark
17	no	ADV	18	advmod
18	morir	VERB	11	advcl
19	,	PUNCT	24	punct
20	porque	SCONJ	24	mark
21	la	DET	22	det
22	destreza	NOUN	24	nsubj
23	es	AUX	24	cop
24	infame	ADJ	11	advcl
25	si	SCONJ	26	mark
26	hay	AUX	24	advcl
27	superioridad	NOUN	26	obj
28	e	CCONJ	31	cc
29	inútil	ADJ	31	xcomp
30	si	SCONJ	31	mark
31	hay	VERB	24	conj
32	igualdad	NOUN	31	obj
33	-	PUNCT	2	punct
34	.	PUNCT	2	punct