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:
El incidente también beneficia a la derecha francesa, que no pierde baza en su desesperado intento por mejorar su imagen después del desgarro sufrido en sus filas a raíz de los reveses electorales.
Postion	Tokenization
1	El
2	incidente
3	también
4	beneficia
5	a
6	la
7	derecha
8	francesa
9	,
10	que
11	no
12	pierde
13	baza
14	en
15	su
16	desesperado
17	intento
18	por
19	mejorar
20	su
21	imagen
22	después
23	del
24	desgarro
25	sufrido
26	en
27	sus
28	filas
29	a
30	raíz
31	de
32	los
33	reveses
34	electorales
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	incidente	NOUN	4	nsubj
3	también	ADV	4	advmod
4	beneficia	VERB	0	root
5	a	ADP	7	case
6	la	DET	7	det
7	derecha	NOUN	4	obj
8	francesa	ADJ	7	amod
9	,	PUNCT	12	punct
10	que	PRON	12	nsubj
11	no	ADV	12	advmod
12	pierde	VERB	7	acl
13	baza	NOUN	12	obj
14	en	ADP	17	case
15	su	DET	17	det
16	desesperado	ADJ	17	amod
17	intento	NOUN	12	obl
18	por	ADP	19	mark
19	mejorar	VERB	17	acl
20	su	DET	21	det
21	imagen	NOUN	19	obj
22	después	ADV	19	advmod
23	del	ADP	24	case
24	desgarro	NOUN	22	obl
25	sufrido	ADJ	24	amod
26	en	ADP	28	case
27	sus	DET	28	det
28	filas	NOUN	25	obl
29	a	ADP	33	case
30	raíz	NOUN	29	fixed
31	de	ADP	29	fixed
32	los	DET	33	det
33	reveses	NOUN	25	obl
34	electorales	ADJ	33	amod
35	.	PUNCT	4	punct