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:
Era algo que me hacía mucha ilusión, porque son clásicos, sobre todo los derbis entre el Espanyol y el Barcelona.
Postion	Tokenization
1	Era
2	algo
3	que
4	me
5	hacía
6	mucha
7	ilusión
8	,
9	porque
10	son
11	clásicos
12	,
13	sobre
14	todo
15	los
16	derbis
17	entre
18	el
19	Espanyol
20	y
21	el
22	Barcelona
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Era	AUX	2	cop
2	algo	PRON	0	root
3	que	PRON	5	nsubj
4	me	PRON	5	iobj
5	hacía	VERB	2	acl
6	mucha	DET	7	det
7	ilusión	NOUN	5	obj
8	,	PUNCT	11	punct
9	porque	SCONJ	11	mark
10	son	AUX	11	cop
11	clásicos	ADJ	2	advcl
12	,	PUNCT	16	punct
13	sobre	ADP	16	advmod
14	todo	PRON	13	fixed
15	los	DET	16	det
16	derbis	NOUN	11	nsubj
17	entre	ADP	19	case
18	el	DET	19	det
19	Espanyol	PROPN	16	nmod
20	y	CCONJ	22	cc
21	el	DET	22	det
22	Barcelona	PROPN	19	conj
23	.	PUNCT	2	punct