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:
"Convendrá que el Banco Central Europeo (BCE) continúe orientando la política monetaria hacia una mayor neutralidad, con un aumento de los tipos de interés gradual", aconseja la OCDE.
Postion	Tokenization
1	"
2	Convendrá
3	que
4	el
5	Banco
6	Central
7	Europeo
8	(
9	BCE
10	)
11	continúe
12	orientando
13	la
14	política
15	monetaria
16	hacia
17	una
18	mayor
19	neutralidad
20	,
21	con
22	un
23	aumento
24	de
25	los
26	tipos
27	de
28	interés
29	gradual
30	"
31	,
32	aconseja
33	la
34	OCDE
35	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Convendrá	VERB	32	ccomp
3	que	SCONJ	11	mark
4	el	DET	5	det
5	Banco	PROPN	11	nsubj
6	Central	PROPN	5	flat
7	Europeo	PROPN	5	flat
8	(	PUNCT	9	punct
9	BCE	PROPN	5	flat
10	)	PUNCT	9	punct
11	continúe	VERB	2	csubj
12	orientando	VERB	11	xcomp
13	la	DET	14	det
14	política	NOUN	12	obj
15	monetaria	ADJ	14	amod
16	hacia	ADP	19	case
17	una	DET	19	det
18	mayor	ADJ	19	amod
19	neutralidad	NOUN	11	obl
20	,	PUNCT	23	punct
21	con	ADP	23	case
22	un	DET	23	det
23	aumento	NOUN	11	obl
24	de	ADP	26	case
25	los	DET	26	det
26	tipos	NOUN	23	nmod
27	de	ADP	28	case
28	interés	NOUN	26	nmod
29	gradual	ADJ	23	amod
30	"	PUNCT	2	punct
31	,	PUNCT	2	punct
32	aconseja	VERB	0	root
33	la	DET	34	det
34	OCDE	PROPN	32	nsubj
35	.	PUNCT	32	punct