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:
A lo mejor por ahí puede venir la salvación del Madrid: por la insurgencia desesperada y briosa de un puñado de futbolistas abandonados por la gracia del fútbol.
Postion	Tokenization
1	A
2	lo
3	mejor
4	por
5	ahí
6	puede
7	venir
8	la
9	salvación
10	del
11	Madrid
12	:
13	por
14	la
15	insurgencia
16	desesperada
17	y
18	briosa
19	de
20	un
21	puñado
22	de
23	futbolistas
24	abandonados
25	por
26	la
27	gracia
28	del
29	fútbol
30	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	7	advmod
2	lo	PRON	1	fixed
3	mejor	NOUN	1	fixed
4	por	ADP	7	advmod
5	ahí	ADV	4	fixed
6	puede	AUX	7	aux
7	venir	VERB	0	root
8	la	DET	9	det
9	salvación	NOUN	7	nsubj
10	del	ADP	11	case
11	Madrid	PROPN	9	nmod
12	:	PUNCT	15	punct
13	por	ADP	15	case
14	la	DET	15	det
15	insurgencia	NOUN	7	obl
16	desesperada	ADJ	15	amod
17	y	CCONJ	18	cc
18	briosa	ADJ	16	conj
19	de	ADP	21	case
20	un	DET	21	det
21	puñado	NOUN	15	nmod
22	de	ADP	23	case
23	futbolistas	NOUN	21	nmod
24	abandonados	ADJ	23	amod
25	por	ADP	27	case
26	la	DET	27	det
27	gracia	NOUN	24	obl
28	del	ADP	29	case
29	fútbol	NOUN	27	nmod
30	.	PUNCT	7	punct