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:
Fuentes municipales mostraron ayer su esperanza de que la relación con Cascos sea mejor que con su antecesor, Rafael Arias-Salgado.
Postion	Tokenization
1	Fuentes
2	municipales
3	mostraron
4	ayer
5	su
6	esperanza
7	de
8	que
9	la
10	relación
11	con
12	Cascos
13	sea
14	mejor
15	que
16	con
17	su
18	antecesor
19	,
20	Rafael
21	Arias-Salgado
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Fuentes	NOUN	3	nsubj
2	municipales	ADJ	1	amod
3	mostraron	VERB	0	root
4	ayer	ADV	3	advmod
5	su	DET	6	det
6	esperanza	NOUN	3	obj
7	de	ADP	14	mark
8	que	SCONJ	14	mark
9	la	DET	10	det
10	relación	NOUN	14	nsubj
11	con	ADP	12	case
12	Cascos	PROPN	10	nmod
13	sea	AUX	14	cop
14	mejor	ADJ	6	acl
15	que	SCONJ	18	mark
16	con	ADP	18	case
17	su	DET	18	det
18	antecesor	NOUN	14	obl
19	,	PUNCT	20	punct
20	Rafael	PROPN	18	appos
21	Arias-Salgado	PROPN	20	flat
22	.	PUNCT	3	punct