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:
Joan Collet, portavoz blanquiazul, expresó ayer su sorpresa por las informaciones sobre el interés del club por el delantero del Valencia y el hijo de Johan Cruyff.
Postion	Tokenization
1	Joan
2	Collet
3	,
4	portavoz
5	blanquiazul
6	,
7	expresó
8	ayer
9	su
10	sorpresa
11	por
12	las
13	informaciones
14	sobre
15	el
16	interés
17	del
18	club
19	por
20	el
21	delantero
22	del
23	Valencia
24	y
25	el
26	hijo
27	de
28	Johan
29	Cruyff
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Joan	PROPN	7	nsubj
2	Collet	PROPN	1	flat
3	,	PUNCT	4	punct
4	portavoz	NOUN	1	appos
5	blanquiazul	ADJ	4	amod
6	,	PUNCT	4	punct
7	expresó	VERB	0	root
8	ayer	ADV	7	advmod
9	su	DET	10	det
10	sorpresa	NOUN	7	obj
11	por	ADP	13	case
12	las	DET	13	det
13	informaciones	NOUN	10	nmod
14	sobre	ADP	16	case
15	el	DET	16	det
16	interés	NOUN	13	nmod
17	del	ADP	18	case
18	club	NOUN	16	nmod
19	por	ADP	21	case
20	el	DET	21	det
21	delantero	NOUN	16	nmod
22	del	ADP	23	case
23	Valencia	PROPN	21	nmod
24	y	CCONJ	26	cc
25	el	DET	26	det
26	hijo	NOUN	21	conj
27	de	ADP	28	case
28	Johan	PROPN	26	nmod
29	Cruyff	PROPN	28	flat
30	.	PUNCT	7	punct