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:
Sólo 250.000 usuarios lograron seguir en directo los 63 minutos de interpretaciones, un récord mundial diez veces superior al que había alcanzado Madonna en Internet.
Postion	Tokenization
1	Sólo
2	250.000
3	usuarios
4	lograron
5	seguir
6	en
7	directo
8	los
9	63
10	minutos
11	de
12	interpretaciones
13	,
14	un
15	récord
16	mundial
17	diez
18	veces
19	superior
20	al
21	que
22	había
23	alcanzado
24	Madonna
25	en
26	Internet
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Sólo	ADV	3	advmod
2	250.000	NUM	3	nummod
3	usuarios	NOUN	4	nsubj
4	lograron	VERB	0	root
5	seguir	VERB	4	xcomp
6	en	ADP	5	advmod
7	directo	NOUN	6	fixed
8	los	DET	9	det
9	63	NUM	10	nummod
10	minutos	NOUN	5	obj
11	de	ADP	12	case
12	interpretaciones	NOUN	10	nmod
13	,	PUNCT	15	punct
14	un	DET	15	det
15	récord	NOUN	10	appos
16	mundial	ADJ	15	amod
17	diez	NUM	18	nummod
18	veces	NOUN	19	obj
19	superior	ADJ	15	amod
20	al	ADP	23	mark
21	que	PRON	23	obj
22	había	AUX	23	aux
23	alcanzado	VERB	19	acl
24	Madonna	PROPN	23	nsubj
25	en	ADP	26	case
26	Internet	PROPN	23	obl
27	.	PUNCT	4	punct