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 centro comercial de Sant Andreu, que abrió sus puertas en Junio pasado, prevé para este año una facturación semestral de 15.000 millones, según Europa Press.
Postion	Tokenization
1	El
2	centro
3	comercial
4	de
5	Sant
6	Andreu
7	,
8	que
9	abrió
10	sus
11	puertas
12	en
13	Junio
14	pasado
15	,
16	prevé
17	para
18	este
19	año
20	una
21	facturación
22	semestral
23	de
24	15.000
25	millones
26	,
27	según
28	Europa
29	Press
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	centro	NOUN	16	nsubj
3	comercial	ADJ	2	amod
4	de	ADP	5	case
5	Sant	PROPN	2	nmod
6	Andreu	PROPN	5	flat
7	,	PUNCT	9	punct
8	que	PRON	9	nsubj
9	abrió	VERB	2	acl
10	sus	DET	11	det
11	puertas	NOUN	9	obj
12	en	ADP	13	case
13	Junio	NOUN	9	obl
14	pasado	ADJ	13	amod
15	,	PUNCT	9	punct
16	prevé	VERB	0	root
17	para	ADP	19	case
18	este	DET	19	det
19	año	NOUN	16	obl
20	una	DET	21	det
21	facturación	NOUN	16	obj
22	semestral	ADJ	21	amod
23	de	ADP	25	case
24	15.000	NUM	25	nummod
25	millones	NOUN	21	nmod
26	,	PUNCT	28	punct
27	según	ADP	28	case
28	Europa	PROPN	16	obl
29	Press	PROPN	28	flat
30	.	PUNCT	16	punct