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:
Otra opinión influyente es la del director del Instituto de Harvard para el Desarrollo Internacional, Jeffrey Sachs, quien pronosticó ayer en Davos que Brasil podría incluso entrar en suspensión del pagos.
Postion	Tokenization
1	Otra
2	opinión
3	influyente
4	es
5	la
6	del
7	director
8	del
9	Instituto
10	de
11	Harvard
12	para
13	el
14	Desarrollo
15	Internacional
16	,
17	Jeffrey
18	Sachs
19	,
20	quien
21	pronosticó
22	ayer
23	en
24	Davos
25	que
26	Brasil
27	podría
28	incluso
29	entrar
30	en
31	suspensión
32	del
33	pagos
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Otra	DET	2	det
2	opinión	NOUN	5	nsubj
3	influyente	ADJ	2	amod
4	es	AUX	5	cop
5	la	DET	0	root
6	del	ADP	7	case
7	director	NOUN	5	nmod
8	del	ADP	9	case
9	Instituto	PROPN	7	nmod
10	de	ADP	11	case
11	Harvard	PROPN	9	flat
12	para	ADP	14	case
13	el	DET	14	det
14	Desarrollo	PROPN	9	flat
15	Internacional	PROPN	14	flat
16	,	PUNCT	17	punct
17	Jeffrey	PROPN	7	appos
18	Sachs	PROPN	17	flat
19	,	PUNCT	17	punct
20	quien	PRON	21	nsubj
21	pronosticó	VERB	7	acl
22	ayer	ADV	21	advmod
23	en	ADP	24	case
24	Davos	PROPN	21	obl
25	que	SCONJ	29	mark
26	Brasil	PROPN	29	nsubj
27	podría	AUX	29	aux
28	incluso	ADV	29	advmod
29	entrar	VERB	21	xcomp
30	en	ADP	31	case
31	suspensión	NOUN	29	obl
32	del	ADP	33	case
33	pagos	NOUN	31	nmod
34	.	PUNCT	5	punct