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:
Los párkings del Mercat Central y de la plaza del Doctor Robert (728 plazas) se reforzarán en el futuro con las 550 plazas del Vapor Turull y del cine Imperial.
Postion	Tokenization
1	Los
2	párkings
3	del
4	Mercat
5	Central
6	y
7	de
8	la
9	plaza
10	del
11	Doctor
12	Robert
13	(
14	728
15	plazas
16	)
17	se
18	reforzarán
19	en
20	el
21	futuro
22	con
23	las
24	550
25	plazas
26	del
27	Vapor
28	Turull
29	y
30	del
31	cine
32	Imperial
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	párkings	NOUN	18	nsubj
3	del	ADP	4	case
4	Mercat	PROPN	2	nmod
5	Central	PROPN	4	flat
6	y	CCONJ	9	cc
7	de	ADP	9	case
8	la	DET	9	det
9	plaza	NOUN	4	conj
10	del	ADP	11	case
11	Doctor	PROPN	9	nmod
12	Robert	PROPN	11	flat
13	(	PUNCT	15	punct
14	728	NUM	15	nummod
15	plazas	NOUN	2	appos
16	)	PUNCT	15	punct
17	se	PRON	18	expl:pass
18	reforzarán	VERB	0	root
19	en	ADP	21	case
20	el	DET	21	det
21	futuro	NOUN	18	obl
22	con	ADP	25	case
23	las	DET	24	det
24	550	NUM	25	nummod
25	plazas	NOUN	18	obl
26	del	ADP	27	case
27	Vapor	PROPN	25	nmod
28	Turull	PROPN	27	flat
29	y	CCONJ	31	cc
30	del	ADP	31	case
31	cine	NOUN	27	conj
32	Imperial	PROPN	31	appos
33	.	PUNCT	18	punct