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:
Otro dirigente de la Facultad de Derecho de la USAC, Gustavo Blanco, se felicitó del triunfo por haber logrado que el precio del pasaje volviera a la normalidad.
Postion	Tokenization
1	Otro
2	dirigente
3	de
4	la
5	Facultad
6	de
7	Derecho
8	de
9	la
10	USAC
11	,
12	Gustavo
13	Blanco
14	,
15	se
16	felicitó
17	del
18	triunfo
19	por
20	haber
21	logrado
22	que
23	el
24	precio
25	del
26	pasaje
27	volviera
28	a
29	la
30	normalidad
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Otro	DET	2	det
2	dirigente	NOUN	16	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	Facultad	PROPN	2	nmod
6	de	ADP	7	case
7	Derecho	PROPN	5	flat
8	de	ADP	10	case
9	la	DET	10	det
10	USAC	PROPN	5	nmod
11	,	PUNCT	12	punct
12	Gustavo	PROPN	2	appos
13	Blanco	PROPN	12	flat
14	,	PUNCT	12	punct
15	se	PRON	16	expl:pv
16	felicitó	VERB	0	root
17	del	ADP	18	case
18	triunfo	NOUN	16	obj
19	por	ADP	21	mark
20	haber	AUX	21	aux
21	logrado	VERB	18	acl
22	que	SCONJ	27	mark
23	el	DET	24	det
24	precio	NOUN	27	nsubj
25	del	ADP	26	case
26	pasaje	NOUN	24	nmod
27	volviera	VERB	21	ccomp
28	a	ADP	30	case
29	la	DET	30	det
30	normalidad	NOUN	27	obl
31	.	PUNCT	16	punct