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:
"Ignoro de qué está hablando el COI", dijo Mayer, "pero puede que ese material se utilizase para perfusiones. Nosotros necesitábamos esos aparatos para diversas terapias".
Postion	Tokenization
1	"
2	Ignoro
3	de
4	qué
5	está
6	hablando
7	el
8	COI
9	"
10	,
11	dijo
12	Mayer
13	,
14	"
15	pero
16	puede
17	que
18	ese
19	material
20	se
21	utilizase
22	para
23	perfusiones
24	.
25	Nosotros
26	necesitábamos
27	esos
28	aparatos
29	para
30	diversas
31	terapias
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Ignoro	VERB	0	root
3	de	ADP	4	case
4	qué	PRON	6	obj
5	está	AUX	6	aux
6	hablando	VERB	2	ccomp
7	el	DET	8	det
8	COI	PROPN	6	nsubj
9	"	PUNCT	11	punct
10	,	PUNCT	11	punct
11	dijo	VERB	2	parataxis
12	Mayer	PROPN	11	nsubj
13	,	PUNCT	11	punct
14	"	PUNCT	16	punct
15	pero	CCONJ	16	cc
16	puede	VERB	2	conj
17	que	SCONJ	21	mark
18	ese	DET	19	det
19	material	NOUN	21	nsubj
20	se	PRON	21	expl:pass
21	utilizase	VERB	16	csubj
22	para	ADP	23	case
23	perfusiones	NOUN	21	obl
24	.	PUNCT	16	punct
25	Nosotros	PRON	26	nsubj
26	necesitábamos	VERB	16	advcl
27	esos	DET	28	det
28	aparatos	NOUN	26	obj
29	para	ADP	31	case
30	diversas	DET	31	det
31	terapias	NOUN	26	obl
32	"	PUNCT	2	punct
33	.	PUNCT	2	punct