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:
La reaparición en los 125cc de una marca histórica como Derbi también debe añadirse a la lista de éxitos de 1999.
Postion	Tokenization
1	La
2	reaparición
3	en
4	los
5	125cc
6	de
7	una
8	marca
9	histórica
10	como
11	Derbi
12	también
13	debe
14	añadirse
15	añadir
16	se
17	a
18	la
19	lista
20	de
21	éxitos
22	de
23	1999
24	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	reaparición	NOUN	14	nsubj
3	en	ADP	5	case
4	los	DET	5	det
5	125cc	NUM	2	nummod
6	de	ADP	8	case
7	una	DET	8	det
8	marca	NOUN	2	nmod
9	histórica	ADJ	8	amod
10	como	SCONJ	11	mark
11	Derbi	PROPN	8	nmod
12	también	ADV	14	advmod
13	debe	AUX	14	aux
14	añadirse	_	None	_
15	añadir	VERB	0	root
16	se	PRON	14	expl:pass
17	a	ADP	18	case
18	la	DET	18	det
19	lista	NOUN	14	obj
20	de	ADP	20	case
21	éxitos	NOUN	18	nmod
22	de	ADP	22	case
23	1999	NOUN	18	nmod
24	.	PUNCT	14	punct