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:
El presidente de la Asociación de Estudiantes la Facultad de Derecho, de la USAC, Vidal Marroquín, se mostró satisfecho de haber logrado el objetivo de la protesta pacífica.
Postion	Tokenization
1	El
2	presidente
3	de
4	la
5	Asociación
6	de
7	Estudiantes
8	la
9	Facultad
10	de
11	Derecho
12	,
13	de
14	la
15	USAC
16	,
17	Vidal
18	Marroquín
19	,
20	se
21	mostró
22	satisfecho
23	de
24	haber
25	logrado
26	el
27	objetivo
28	de
29	la
30	protesta
31	pacífica
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	21	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	Asociación	PROPN	2	nmod
6	de	ADP	7	case
7	Estudiantes	PROPN	5	flat
8	la	DET	9	det
9	Facultad	PROPN	5	flat
10	de	ADP	11	case
11	Derecho	PROPN	5	flat
12	,	PUNCT	15	punct
13	de	ADP	15	case
14	la	DET	15	det
15	USAC	PROPN	5	nmod
16	,	PUNCT	15	punct
17	Vidal	PROPN	2	appos
18	Marroquín	PROPN	17	flat
19	,	PUNCT	2	punct
20	se	PRON	21	expl:pv
21	mostró	VERB	0	root
22	satisfecho	ADJ	21	obj
23	de	ADP	25	mark
24	haber	AUX	25	aux
25	logrado	VERB	22	ccomp
26	el	DET	27	det
27	objetivo	NOUN	25	obj
28	de	ADP	30	case
29	la	DET	30	det
30	protesta	NOUN	27	nmod
31	pacífica	ADJ	30	amod
32	.	PUNCT	21	punct