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:
Por todo esto le dieron el premio Príncipe de Asturias de la Paz de 1987: porque logró ser una persona, aunque nada en su entorno se lo permitiese.
Postion	Tokenization
1	Por
2	todo
3	esto
4	le
5	dieron
6	el
7	premio
8	Príncipe
9	de
10	Asturias
11	de
12	la
13	Paz
14	de
15	1987
16	:
17	porque
18	logró
19	ser
20	una
21	persona
22	,
23	aunque
24	nada
25	en
26	su
27	entorno
28	se
29	lo
30	permitiese
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	todo	DET	3	det
3	esto	PRON	5	obl
4	le	PRON	5	obj
5	dieron	VERB	0	root
6	el	DET	7	det
7	premio	NOUN	5	obj
8	Príncipe	PROPN	7	appos
9	de	ADP	10	case
10	Asturias	PROPN	8	flat
11	de	ADP	13	case
12	la	DET	13	det
13	Paz	PROPN	8	flat
14	de	ADP	15	case
15	1987	NOUN	7	nmod
16	:	PUNCT	18	punct
17	porque	SCONJ	18	mark
18	logró	VERB	5	advcl
19	ser	AUX	21	cop
20	una	DET	21	det
21	persona	NOUN	18	xcomp
22	,	PUNCT	30	punct
23	aunque	SCONJ	30	mark
24	nada	PRON	30	nsubj
25	en	ADP	27	case
26	su	DET	27	det
27	entorno	NOUN	30	obl
28	se	PRON	30	iobj
29	lo	PRON	30	obj
30	permitiese	VERB	18	advcl
31	.	PUNCT	5	punct