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 Banco Interamericano de Desarrollo (BID) prestará a Perú 120 millones de dólares como apoyo a un programa de mejora de la calidad y cobertura de la educación secundaria en el país andino.
Postion	Tokenization
1	El
2	Banco
3	Interamericano
4	de
5	Desarrollo
6	(
7	BID
8	)
9	prestará
10	a
11	Perú
12	120
13	millones
14	de
15	dólares
16	como
17	apoyo
18	a
19	un
20	programa
21	de
22	mejora
23	de
24	la
25	calidad
26	y
27	cobertura
28	de
29	la
30	educación
31	secundaria
32	en
33	el
34	país
35	andino
36	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Banco	PROPN	9	nsubj
3	Interamericano	PROPN	2	flat
4	de	ADP	5	case
5	Desarrollo	PROPN	2	flat
6	(	PUNCT	7	punct
7	BID	PROPN	2	flat
8	)	PUNCT	7	punct
9	prestará	VERB	0	root
10	a	ADP	11	case
11	Perú	PROPN	9	obj
12	120	NUM	13	nummod
13	millones	NOUN	9	obj
14	de	ADP	15	case
15	dólares	NOUN	13	nmod
16	como	SCONJ	17	mark
17	apoyo	NOUN	9	obl
18	a	ADP	20	case
19	un	DET	20	det
20	programa	NOUN	17	nmod
21	de	ADP	22	case
22	mejora	NOUN	20	nmod
23	de	ADP	25	case
24	la	DET	25	det
25	calidad	NOUN	22	nmod
26	y	CCONJ	27	cc
27	cobertura	NOUN	25	conj
28	de	ADP	30	case
29	la	DET	30	det
30	educación	NOUN	25	nmod
31	secundaria	ADJ	30	amod
32	en	ADP	34	case
33	el	DET	34	det
34	país	NOUN	30	nmod
35	andino	ADJ	34	amod
36	.	PUNCT	9	punct