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:
En el muro que dará a la calle de Colomines, la arquitecta proyecta incrustar algunas de las piedras halladas en el subsuelo y formar con ellas las palabras Santa Caterina.
Postion	Tokenization
1	En
2	el
3	muro
4	que
5	dará
6	a
7	la
8	calle
9	de
10	Colomines
11	,
12	la
13	arquitecta
14	proyecta
15	incrustar
16	algunas
17	de
18	las
19	piedras
20	halladas
21	en
22	el
23	subsuelo
24	y
25	formar
26	con
27	ellas
28	las
29	palabras
30	Santa
31	Caterina
32	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	muro	NOUN	14	obl
4	que	PRON	5	nsubj
5	dará	VERB	3	acl
6	a	ADP	8	case
7	la	DET	8	det
8	calle	NOUN	5	obl
9	de	ADP	10	case
10	Colomines	PROPN	8	nmod
11	,	PUNCT	3	punct
12	la	DET	13	det
13	arquitecta	NOUN	14	nsubj
14	proyecta	VERB	0	root
15	incrustar	VERB	14	xcomp
16	algunas	PRON	15	obj
17	de	ADP	19	case
18	las	DET	19	det
19	piedras	NOUN	16	nmod
20	halladas	ADJ	19	amod
21	en	ADP	23	case
22	el	DET	23	det
23	subsuelo	NOUN	20	obl
24	y	CCONJ	25	cc
25	formar	VERB	15	conj
26	con	ADP	27	case
27	ellas	PRON	25	obl
28	las	DET	29	det
29	palabras	NOUN	25	obj
30	Santa	PROPN	29	appos
31	Caterina	PROPN	30	flat
32	.	PUNCT	14	punct