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:
Juan López, un discapacitado intelectual de 21 años cuya principal afición es salir con los amigos, ha logrado el oro en 400 metros.
Postion	Tokenization
1	Juan
2	López
3	,
4	un
5	discapacitado
6	intelectual
7	de
8	21
9	años
10	cuya
11	principal
12	afición
13	es
14	salir
15	con
16	los
17	amigos
18	,
19	ha
20	logrado
21	el
22	oro
23	en
24	400
25	metros
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Juan	PROPN	20	nsubj
2	López	PROPN	1	flat
3	,	PUNCT	5	punct
4	un	DET	5	det
5	discapacitado	NOUN	1	appos
6	intelectual	ADJ	5	amod
7	de	ADP	9	case
8	21	NUM	9	nummod
9	años	NOUN	5	nmod
10	cuya	PRON	12	nmod
11	principal	ADJ	12	amod
12	afición	NOUN	13	nsubj
13	es	AUX	5	acl
14	salir	VERB	13	ccomp
15	con	ADP	17	case
16	los	DET	17	det
17	amigos	NOUN	14	obl
18	,	PUNCT	5	punct
19	ha	AUX	20	aux
20	logrado	VERB	0	root
21	el	DET	22	det
22	oro	NOUN	20	obj
23	en	ADP	25	case
24	400	NUM	25	nummod
25	metros	NOUN	20	obl
26	.	PUNCT	20	punct