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 presidente de la Institució de les Lletres Catalanes, Manuel Castellet, ha dimitido de su cargo de presidente de la Fundació de la Universitat Catalana d'Estiu (UCE).
Postion	Tokenization
1	El
2	presidente
3	de
4	la
5	Institució
6	de
7	les
8	Lletres
9	Catalanes
10	,
11	Manuel
12	Castellet
13	,
14	ha
15	dimitido
16	de
17	su
18	cargo
19	de
20	presidente
21	de
22	la
23	Fundació
24	de
25	la
26	Universitat
27	Catalana
28	d'Estiu
29	(
30	UCE
31	)
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	15	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	Institució	PROPN	2	nmod
6	de	ADP	8	case
7	les	PRON	8	det
8	Lletres	PROPN	5	flat
9	Catalanes	PROPN	8	flat
10	,	PUNCT	11	punct
11	Manuel	PROPN	2	appos
12	Castellet	PROPN	11	flat
13	,	PUNCT	11	punct
14	ha	AUX	15	aux
15	dimitido	VERB	0	root
16	de	ADP	18	case
17	su	DET	18	det
18	cargo	NOUN	15	obl
19	de	ADP	20	case
20	presidente	NOUN	18	nmod
21	de	ADP	23	case
22	la	DET	23	det
23	Fundació	PROPN	20	nmod
24	de	ADP	26	case
25	la	DET	26	det
26	Universitat	PROPN	23	nmod
27	Catalana	PROPN	26	flat
28	d'Estiu	PROPN	26	flat
29	(	PUNCT	30	punct
30	UCE	PROPN	26	flat
31	)	PUNCT	30	punct
32	.	PUNCT	15	punct