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 superior del monasterio, José Antonio Lacasa, explicó que quieren convertir parte del edificio del convento en un moderno albergue con la ayuda de la Generalitat.
Postion	Tokenization
1	El
2	superior
3	del
4	monasterio
5	,
6	José
7	Antonio
8	Lacasa
9	,
10	explicó
11	que
12	quieren
13	convertir
14	parte
15	del
16	edificio
17	del
18	convento
19	en
20	un
21	moderno
22	albergue
23	con
24	la
25	ayuda
26	de
27	la
28	Generalitat
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	superior	NOUN	10	nsubj
3	del	ADP	4	case
4	monasterio	NOUN	2	nmod
5	,	PUNCT	6	punct
6	José	PROPN	2	appos
7	Antonio	PROPN	6	flat
8	Lacasa	PROPN	6	flat
9	,	PUNCT	6	punct
10	explicó	VERB	0	root
11	que	SCONJ	12	mark
12	quieren	VERB	10	ccomp
13	convertir	VERB	12	xcomp
14	parte	NOUN	13	obj
15	del	ADP	16	case
16	edificio	NOUN	14	nmod
17	del	ADP	18	case
18	convento	NOUN	16	nmod
19	en	ADP	22	case
20	un	DET	22	det
21	moderno	ADJ	22	amod
22	albergue	NOUN	13	obj
23	con	ADP	25	case
24	la	DET	25	det
25	ayuda	NOUN	13	obl
26	de	ADP	28	case
27	la	DET	28	det
28	Generalitat	PROPN	25	nmod
29	.	PUNCT	10	punct