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:
"Importa más el Las Palmas que Riquelme", dijo Serra Ferrer, que acudió a la sala de prensa preparado para recibir un alud de preguntas sobre el primer fichaje para la próxima temporada.
Postion	Tokenization
1	"
2	Importa
3	más
4	el
5	Las
6	Palmas
7	que
8	Riquelme
9	"
10	,
11	dijo
12	Serra
13	Ferrer
14	,
15	que
16	acudió
17	a
18	la
19	sala
20	de
21	prensa
22	preparado
23	para
24	recibir
25	un
26	alud
27	de
28	preguntas
29	sobre
30	el
31	primer
32	fichaje
33	para
34	la
35	próxima
36	temporada
37	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Importa	VERB	11	ccomp
3	más	ADV	2	advmod
4	el	DET	5	det
5	Las	DET	6	det
6	Palmas	PROPN	2	nsubj
7	que	SCONJ	8	mark
8	Riquelme	PROPN	2	obl
9	"	PUNCT	2	punct
10	,	PUNCT	2	punct
11	dijo	VERB	0	root
12	Serra	PROPN	11	nsubj
13	Ferrer	PROPN	12	flat
14	,	PUNCT	16	punct
15	que	PRON	16	nsubj
16	acudió	VERB	12	acl
17	a	ADP	19	case
18	la	DET	19	det
19	sala	NOUN	16	obl
20	de	ADP	21	case
21	prensa	NOUN	19	nmod
22	preparado	ADJ	16	obj
23	para	ADP	24	mark
24	recibir	VERB	22	advcl
25	un	DET	26	det
26	alud	NOUN	24	obj
27	de	ADP	28	case
28	preguntas	NOUN	26	nmod
29	sobre	ADP	32	case
30	el	DET	32	det
31	primer	ADJ	32	amod
32	fichaje	NOUN	24	obl
33	para	ADP	36	case
34	la	DET	36	det
35	próxima	ADJ	36	amod
36	temporada	NOUN	32	nmod
37	.	PUNCT	11	punct