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 retirada del candidato opositor, el economista Alejandro Toledo, y la salida del país de la misión de observación de la Organización de Estados Americanos hicieron aumentar las sospechas de "irregularidades" en el proceso.
Postion	Tokenization
1	La
2	retirada
3	del
4	candidato
5	opositor
6	,
7	el
8	economista
9	Alejandro
10	Toledo
11	,
12	y
13	la
14	salida
15	del
16	país
17	de
18	la
19	misión
20	de
21	observación
22	de
23	la
24	Organización
25	de
26	Estados
27	Americanos
28	hicieron
29	aumentar
30	las
31	sospechas
32	de
33	"
34	irregularidades
35	"
36	en
37	el
38	proceso
39	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	retirada	NOUN	28	nsubj
3	del	ADP	4	case
4	candidato	NOUN	2	nmod
5	opositor	NOUN	4	nmod
6	,	PUNCT	8	punct
7	el	DET	8	det
8	economista	NOUN	4	appos
9	Alejandro	PROPN	8	appos
10	Toledo	PROPN	9	flat
11	,	PUNCT	8	punct
12	y	CCONJ	14	cc
13	la	DET	14	det
14	salida	NOUN	2	conj
15	del	ADP	16	case
16	país	NOUN	14	nmod
17	de	ADP	19	case
18	la	DET	19	det
19	misión	NOUN	14	nmod
20	de	ADP	21	case
21	observación	NOUN	19	nmod
22	de	ADP	24	case
23	la	DET	24	det
24	Organización	PROPN	21	nmod
25	de	ADP	26	case
26	Estados	PROPN	24	flat
27	Americanos	PROPN	26	flat
28	hicieron	VERB	0	root
29	aumentar	VERB	28	xcomp
30	las	DET	31	det
31	sospechas	NOUN	28	obj
32	de	ADP	34	case
33	"	PUNCT	34	punct
34	irregularidades	NOUN	31	nmod
35	"	PUNCT	34	punct
36	en	ADP	38	case
37	el	DET	38	det
38	proceso	NOUN	34	nmod
39	.	PUNCT	28	punct