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:
La "guerra" de palabras ha entretenido a muchos mexicanos, mientras que otros exigen que en vez de insultarse, profundicen en sus programas de gobierno en caso de ganar la presidencia.
Postion	Tokenization
1	La
2	"
3	guerra
4	"
5	de
6	palabras
7	ha
8	entretenido
9	a
10	muchos
11	mexicanos
12	,
13	mientras
14	que
15	otros
16	exigen
17	que
18	en
19	vez
20	de
21	insultarse
22	insultar
23	se
24	,
25	profundicen
26	en
27	sus
28	programas
29	de
30	gobierno
31	en
32	caso
33	de
34	ganar
35	la
36	presidencia
37	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	"	PUNCT	3	punct
3	guerra	NOUN	8	nsubj
4	"	PUNCT	3	punct
5	de	ADP	6	case
6	palabras	NOUN	3	nmod
7	ha	AUX	8	aux
8	entretenido	VERB	0	root
9	a	ADP	11	case
10	muchos	DET	11	det
11	mexicanos	NOUN	8	obj
12	,	PUNCT	13	punct
13	mientras	ADV	8	advmod
14	que	SCONJ	16	mark
15	otros	PRON	16	nsubj
16	exigen	VERB	13	advcl
17	que	SCONJ	24	mark
18	en	ADP	21	mark
19	vez	NOUN	18	fixed
20	de	ADP	18	fixed
21	insultarse	_	None	_
22	insultar	VERB	24	advcl
23	se	PRON	21	obj
24	,	PUNCT	21	punct
25	profundicen	VERB	16	ccomp
26	en	ADP	27	case
27	sus	DET	27	det
28	programas	NOUN	24	obj
29	de	ADP	29	case
30	gobierno	NOUN	27	nmod
31	en	ADP	33	mark
32	caso	NOUN	30	fixed
33	de	ADP	30	fixed
34	ganar	VERB	24	advcl
35	la	DET	35	det
36	presidencia	NOUN	33	obj
37	.	PUNCT	8	punct