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:
Además, Erill ha cedido 29 carpetas con el material y la información recopilados durante la preparación de su obra Ferran Canyameres: entre la memoria i l'oblit.
Postion	Tokenization
1	Además
2	,
3	Erill
4	ha
5	cedido
6	29
7	carpetas
8	con
9	el
10	material
11	y
12	la
13	información
14	recopilados
15	durante
16	la
17	preparación
18	de
19	su
20	obra
21	Ferran
22	Canyameres
23	:
24	entre
25	la
26	memoria
27	i
28	l'oblit
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	5	advmod
2	,	PUNCT	1	punct
3	Erill	PROPN	5	nsubj
4	ha	AUX	5	aux
5	cedido	VERB	0	root
6	29	NUM	7	nummod
7	carpetas	NOUN	5	obj
8	con	ADP	10	case
9	el	DET	10	det
10	material	NOUN	7	nmod
11	y	CCONJ	13	cc
12	la	DET	13	det
13	información	NOUN	10	conj
14	recopilados	ADJ	10	amod
15	durante	ADP	17	case
16	la	DET	17	det
17	preparación	NOUN	14	obl
18	de	ADP	20	case
19	su	DET	20	det
20	obra	NOUN	17	nmod
21	Ferran	PROPN	20	appos
22	Canyameres	PROPN	21	flat
23	:	PUNCT	21	punct
24	entre	ADP	26	case
25	la	DET	26	det
26	memoria	PROPN	21	flat
27	i	CCONJ	28	cc
28	l'oblit	PROPN	26	conj
29	.	PUNCT	5	punct