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 legado del prolífico escritor Ferran Canyameres (Terrassa, 1898 - Barcelona, 1964) a Terrassa se amplió ayer, convenio firmado entre el concejal de Cultura, Pere Navarro, la hija del autor, Montserrat Canyameres, y el filólogo Gustau Erill, autor de la biografía ganadora del concurso de Omnium Cultural para conmemorar el centenario del nacimiento del autor.
Postion	Tokenization
1	El
2	legado
3	del
4	prolífico
5	escritor
6	Ferran
7	Canyameres
8	(
9	Terrassa
10	,
11	1898
12	-
13	Barcelona
14	,
15	1964
16	)
17	a
18	Terrassa
19	se
20	amplió
21	ayer
22	,
23	convenio
24	firmado
25	entre
26	el
27	concejal
28	de
29	Cultura
30	,
31	Pere
32	Navarro
33	,
34	la
35	hija
36	del
37	autor
38	,
39	Montserrat
40	Canyameres
41	,
42	y
43	el
44	filólogo
45	Gustau
46	Erill
47	,
48	autor
49	de
50	la
51	biografía
52	ganadora
53	del
54	concurso
55	de
56	Omnium
57	Cultural
58	para
59	conmemorar
60	el
61	centenario
62	del
63	nacimiento
64	del
65	autor
66	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	legado	NOUN	20	nsubj
3	del	ADP	5	case
4	prolífico	ADJ	5	amod
5	escritor	NOUN	2	nmod
6	Ferran	PROPN	5	appos
7	Canyameres	PROPN	6	flat
8	(	PUNCT	9	punct
9	Terrassa	PROPN	6	nmod
10	,	PUNCT	11	punct
11	1898	NOUN	9	appos
12	-	PUNCT	9	punct
13	Barcelona	PROPN	9	flat
14	,	PUNCT	15	punct
15	1964	NOUN	13	appos
16	)	PUNCT	9	punct
17	a	ADP	18	case
18	Terrassa	PROPN	2	nmod
19	se	PRON	20	expl:pass
20	amplió	VERB	0	root
21	ayer	ADV	20	advmod
22	,	PUNCT	23	punct
23	convenio	NOUN	20	dep
24	firmado	ADJ	23	amod
25	entre	ADP	27	case
26	el	DET	27	det
27	concejal	NOUN	24	obl
28	de	ADP	29	case
29	Cultura	PROPN	27	nmod
30	,	PUNCT	31	punct
31	Pere	PROPN	27	appos
32	Navarro	PROPN	31	flat
33	,	PUNCT	35	punct
34	la	DET	35	det
35	hija	NOUN	27	appos
36	del	ADP	37	case
37	autor	NOUN	35	nmod
38	,	PUNCT	39	punct
39	Montserrat	PROPN	35	appos
40	Canyameres	PROPN	39	flat
41	,	PUNCT	39	punct
42	y	CCONJ	44	cc
43	el	DET	44	det
44	filólogo	NOUN	27	conj
45	Gustau	PROPN	44	appos
46	Erill	PROPN	45	flat
47	,	PUNCT	48	punct
48	autor	NOUN	44	appos
49	de	ADP	51	case
50	la	DET	51	det
51	biografía	NOUN	48	nmod
52	ganadora	ADJ	51	amod
53	del	ADP	54	case
54	concurso	NOUN	52	nmod
55	de	ADP	56	case
56	Omnium	PROPN	54	nmod
57	Cultural	PROPN	56	flat
58	para	ADP	59	mark
59	conmemorar	VERB	24	advcl
60	el	DET	61	det
61	centenario	NOUN	59	obj
62	del	ADP	63	case
63	nacimiento	NOUN	61	nmod
64	del	ADP	65	case
65	autor	NOUN	63	nmod
66	.	PUNCT	20	punct