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 el motivo de que no se produzca en la hinchada ni un cisma ni un motín.
Postion	Tokenization
1	Que
2	Alfonso
3	y
4	no
5	otro
6	exista
7	es
8	el
9	motivo
10	de
11	que
12	no
13	se
14	produzca
15	en
16	la
17	hinchada
18	ni
19	un
20	cisma
21	ni
22	un
23	motín
24	.
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	el	DET	9	det
9	motivo	NOUN	0	root
10	de	ADP	14	mark
11	que	SCONJ	14	mark
12	no	ADV	14	advmod
13	se	PRON	14	expl:pv
14	produzca	VERB	9	acl
15	en	ADP	17	case
16	la	DET	17	det
17	hinchada	NOUN	14	obl
18	ni	CCONJ	20	cc
19	un	DET	20	det
20	cisma	NOUN	14	nsubj
21	ni	CCONJ	23	cc
22	un	DET	23	det
23	motín	NOUN	20	conj
24	.	PUNCT	9	punct