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:
El panameño Julio Dely Valdés, del Málaga de España, fue elegido como el quinto mejor futbolista de Centroamérica, con 30 puntos.
Postion	Tokenization
1	El
2	panameño
3	Julio
4	Dely
5	Valdés
6	,
7	del
8	Málaga
9	de
10	España
11	,
12	fue
13	elegido
14	como
15	el
16	quinto
17	mejor
18	futbolista
19	de
20	Centroamérica
21	,
22	con
23	30
24	puntos
25	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	panameño	NOUN	13	nsubj
3	Julio	PROPN	2	appos
4	Dely	PROPN	3	flat
5	Valdés	PROPN	3	flat
6	,	PUNCT	8	punct
7	del	ADP	8	case
8	Málaga	PROPN	2	nmod
9	de	ADP	10	case
10	España	PROPN	8	nmod
11	,	PUNCT	8	punct
12	fue	AUX	13	aux
13	elegido	VERB	0	root
14	como	SCONJ	18	mark
15	el	DET	18	det
16	quinto	ADJ	18	amod
17	mejor	ADJ	18	amod
18	futbolista	NOUN	13	obl
19	de	ADP	20	case
20	Centroamérica	PROPN	18	nmod
21	,	PUNCT	24	punct
22	con	ADP	24	case
23	30	NUM	24	nummod
24	puntos	NOUN	18	nmod
25	.	PUNCT	13	punct