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 crédito de mayor cuantía, 22.645 millones de pesetas, ha sido suscrito con el Banco Europeo de Inversiones y será amortizado en 15 años.
Postion	Tokenization
1	El
2	crédito
3	de
4	mayor
5	cuantía
6	,
7	22.645
8	millones
9	de
10	pesetas
11	,
12	ha
13	sido
14	suscrito
15	con
16	el
17	Banco
18	Europeo
19	de
20	Inversiones
21	y
22	será
23	amortizado
24	en
25	15
26	años
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	crédito	NOUN	14	nsubj
3	de	ADP	5	case
4	mayor	ADJ	5	amod
5	cuantía	NOUN	2	nmod
6	,	PUNCT	8	punct
7	22.645	NUM	8	nummod
8	millones	NOUN	5	appos
9	de	ADP	10	case
10	pesetas	NOUN	8	nmod
11	,	PUNCT	8	punct
12	ha	AUX	14	aux
13	sido	AUX	14	aux
14	suscrito	VERB	0	root
15	con	ADP	17	case
16	el	DET	17	det
17	Banco	PROPN	14	obl
18	Europeo	PROPN	17	flat
19	de	ADP	20	case
20	Inversiones	PROPN	17	flat
21	y	CCONJ	23	cc
22	será	AUX	23	aux
23	amortizado	VERB	14	conj
24	en	ADP	26	case
25	15	NUM	26	nummod
26	años	NOUN	23	obl
27	.	PUNCT	14	punct