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, se construirán dos bloques de pisos para ancianos y un museo arqueológico que integrará en una cripta los restos hallados en el subsuelo de Santa Caterina.
Postion	Tokenization
1	Además
2	,
3	se
4	construirán
5	dos
6	bloques
7	de
8	pisos
9	para
10	ancianos
11	y
12	un
13	museo
14	arqueológico
15	que
16	integrará
17	en
18	una
19	cripta
20	los
21	restos
22	hallados
23	en
24	el
25	subsuelo
26	de
27	Santa
28	Caterina
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	4	advmod
2	,	PUNCT	1	punct
3	se	PRON	4	expl:pass
4	construirán	VERB	0	root
5	dos	NUM	6	nummod
6	bloques	NOUN	4	nsubj
7	de	ADP	8	case
8	pisos	NOUN	6	nmod
9	para	ADP	10	case
10	ancianos	NOUN	6	nmod
11	y	CCONJ	13	cc
12	un	DET	13	det
13	museo	NOUN	6	conj
14	arqueológico	ADJ	13	amod
15	que	PRON	16	nsubj
16	integrará	VERB	13	acl
17	en	ADP	19	case
18	una	DET	19	det
19	cripta	NOUN	16	obl
20	los	DET	21	det
21	restos	NOUN	16	obj
22	hallados	ADJ	21	amod
23	en	ADP	25	case
24	el	DET	25	det
25	subsuelo	NOUN	22	obl
26	de	ADP	27	case
27	Santa	PROPN	25	nmod
28	Caterina	PROPN	27	flat
29	.	PUNCT	4	punct