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:
Que Alfonso y no otro exista es la razón de que la gente se haya acostumbrado a aceptar el comienzo del fin de una era simbolizada por alguien aún ubicuo entre el ayer y el hoy.
Postion	Tokenization
1	Que
2	Alfonso
3	y
4	no
5	otro
6	exista
7	es
8	la
9	razón
10	de
11	que
12	la
13	gente
14	se
15	haya
16	acostumbrado
17	a
18	aceptar
19	el
20	comienzo
21	del
22	fin
23	de
24	una
25	era
26	simbolizada
27	por
28	alguien
29	aún
30	ubicuo
31	entre
32	el
33	ayer
34	y
35	el
36	hoy
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Que	SCONJ	6	mark
2	Alfonso	PROPN	6	nsubj
3	y	CCONJ	5	cc
4	no	ADV	5	advmod
5	otro	PRON	2	conj
6	exista	VERB	9	csubj
7	es	AUX	9	cop
8	la	DET	9	det
9	razón	NOUN	0	root
10	de	ADP	16	mark
11	que	SCONJ	16	mark
12	la	DET	13	det
13	gente	NOUN	16	nsubj
14	se	PRON	16	expl:pv
15	haya	AUX	16	aux
16	acostumbrado	VERB	9	acl
17	a	ADP	18	mark
18	aceptar	VERB	16	xcomp
19	el	DET	20	det
20	comienzo	NOUN	18	obj
21	del	ADP	22	case
22	fin	NOUN	20	nmod
23	de	ADP	25	case
24	una	DET	25	det
25	era	NOUN	22	nmod
26	simbolizada	ADJ	25	amod
27	por	ADP	28	case
28	alguien	PRON	26	obj
29	aún	ADV	30	advmod
30	ubicuo	ADJ	28	amod
31	entre	ADP	33	case
32	el	DET	33	det
33	ayer	NOUN	30	obj
34	y	CCONJ	36	cc
35	el	DET	36	det
36	hoy	NOUN	33	conj
37	.	PUNCT	9	punct