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:
Can'Oriac, la Creu de Barberà y la Via Alexandra, tres populosos barrios de la periferia de Sabadell, podrían contar con párkings subterráneos si se confirma que los equipamientos son viables.
Postion	Tokenization
1	Can'Oriac
2	,
3	la
4	Creu
5	de
6	Barberà
7	y
8	la
9	Via
10	Alexandra
11	,
12	tres
13	populosos
14	barrios
15	de
16	la
17	periferia
18	de
19	Sabadell
20	,
21	podrían
22	contar
23	con
24	párkings
25	subterráneos
26	si
27	se
28	confirma
29	que
30	los
31	equipamientos
32	son
33	viables
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Can'Oriac	PROPN	22	nsubj
2	,	PUNCT	4	punct
3	la	DET	4	det
4	Creu	PROPN	1	flat
5	de	ADP	6	case
6	Barberà	PROPN	4	flat
7	y	CCONJ	9	cc
8	la	DET	9	det
9	Via	PROPN	1	conj
10	Alexandra	PROPN	9	flat
11	,	PUNCT	14	punct
12	tres	NUM	14	nummod
13	populosos	ADJ	14	amod
14	barrios	NOUN	1	appos
15	de	ADP	17	case
16	la	DET	17	det
17	periferia	NOUN	14	nmod
18	de	ADP	19	case
19	Sabadell	PROPN	17	nmod
20	,	PUNCT	14	punct
21	podrían	AUX	22	aux
22	contar	VERB	0	root
23	con	ADP	24	case
24	párkings	NOUN	22	obj
25	subterráneos	ADJ	24	amod
26	si	SCONJ	28	mark
27	se	PRON	28	expl:pass
28	confirma	VERB	22	advcl
29	que	SCONJ	33	mark
30	los	DET	31	det
31	equipamientos	NOUN	33	nsubj
32	son	AUX	33	cop
33	viables	ADJ	28	csubj
34	.	PUNCT	22	punct