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 en la Universidad de Chapingo, en México, se elige el rector por sufragio universal, pero allí la máxima es un hombre un voto.
Postion	Tokenization
1	Sólo
2	en
3	la
4	Universidad
5	de
6	Chapingo
7	,
8	en
9	México
10	,
11	se
12	elige
13	el
14	rector
15	por
16	sufragio
17	universal
18	,
19	pero
20	allí
21	la
22	máxima
23	es
24	un
25	hombre
26	un
27	voto
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Sólo	ADV	12	advmod
2	en	ADP	1	case
3	la	DET	4	det
4	Universidad	PROPN	1	nmod
5	de	ADP	6	case
6	Chapingo	PROPN	4	flat
7	,	PUNCT	9	punct
8	en	ADP	9	case
9	México	PROPN	4	nmod
10	,	PUNCT	9	punct
11	se	PRON	12	expl:pass
12	elige	VERB	0	root
13	el	DET	14	det
14	rector	NOUN	12	nsubj
15	por	ADP	16	case
16	sufragio	NOUN	12	obl
17	universal	NOUN	16	compound
18	,	PUNCT	25	punct
19	pero	CCONJ	25	cc
20	allí	ADV	25	advmod
21	la	DET	22	det
22	máxima	NOUN	25	nsubj
23	es	AUX	25	cop
24	un	DET	25	det
25	hombre	NOUN	12	conj
26	un	DET	27	det
27	voto	NOUN	24	compound
28	.	PUNCT	12	punct