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:
Cherchant à moderniser ses différentes activités, incompris par la population de Don Benito qui se révolte, Francisco s'enfuit à Madrid, abandonnant les enfants de son premier mariage.
Postion	Tokenization
1	Cherchant
2	à
3	moderniser
4	ses
5	différentes
6	activités
7	,
8	incompris
9	par
10	la
11	population
12	de
13	Don
14	Benito
15	qui
16	se
17	révolte
18	,
19	Francisco
20	s'
21	enfuit
22	à
23	Madrid
24	,
25	abandonnant
26	les
27	enfants
28	de
29	son
30	premier
31	mariage
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Cherchant	VERB	21	advcl
2	à	ADP	3	mark
3	moderniser	VERB	1	xcomp:obl
4	ses	DET	6	det
5	différentes	ADJ	6	amod
6	activités	NOUN	3	obj
7	,	PUNCT	8	punct
8	incompris	ADJ	1	conj
9	par	ADP	11	case
10	la	DET	11	det
11	population	NOUN	8	obl:agent
12	de	ADP	13	case
13	Don	PROPN	11	nmod
14	Benito	PROPN	13	flat:name
15	qui	PRON	17	nsubj
16	se	PRON	17	dep:comp
17	révolte	VERB	11	acl:relcl
18	,	PUNCT	8	punct
19	Francisco	PROPN	21	nsubj
20	s'	PRON	21	dep:comp
21	enfuit	VERB	0	root
22	à	ADP	23	case
23	Madrid	PROPN	21	obl:arg
24	,	PUNCT	25	punct
25	abandonnant	VERB	21	advcl
26	les	DET	27	det
27	enfants	NOUN	25	obj
28	de	ADP	31	case
29	son	DET	31	det
30	premier	ADJ	31	amod
31	mariage	NOUN	27	nmod
32	.	PUNCT	21	punct