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:
La embajadora peruana ante la OEA aseguró que las elecciones del domingo fueron "legítimas por el hecho de que acudió masivamente la población a votar".
Postion	Tokenization
1	La
2	embajadora
3	peruana
4	ante
5	la
6	OEA
7	aseguró
8	que
9	las
10	elecciones
11	del
12	domingo
13	fueron
14	"
15	legítimas
16	por
17	el
18	hecho
19	de
20	que
21	acudió
22	masivamente
23	la
24	población
25	a
26	votar
27	"
28	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	embajadora	NOUN	7	nsubj
3	peruana	ADJ	2	amod
4	ante	ADP	6	case
5	la	DET	6	det
6	OEA	PROPN	7	obl
7	aseguró	VERB	0	root
8	que	SCONJ	15	mark
9	las	DET	10	det
10	elecciones	NOUN	15	nsubj
11	del	ADP	12	case
12	domingo	NOUN	10	nmod
13	fueron	AUX	15	cop
14	"	PUNCT	15	punct
15	legítimas	NOUN	7	ccomp
16	por	ADP	18	case
17	el	DET	18	det
18	hecho	NOUN	15	obl
19	de	ADP	21	mark
20	que	SCONJ	21	mark
21	acudió	VERB	18	acl
22	masivamente	ADV	21	advmod
23	la	DET	24	det
24	población	NOUN	21	nsubj
25	a	ADP	26	mark
26	votar	VERB	21	advcl
27	"	PUNCT	15	punct
28	.	PUNCT	7	punct