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:
Francia, que vivía uno de los momentos de cambio más importantes de su reciente historia, casi su segunda revolución, fue la gran vedette de esos años.
Postion	Tokenization
1	Francia
2	,
3	que
4	vivía
5	uno
6	de
7	los
8	momentos
9	de
10	cambio
11	más
12	importantes
13	de
14	su
15	reciente
16	historia
17	,
18	casi
19	su
20	segunda
21	revolución
22	,
23	fue
24	la
25	gran
26	vedette
27	de
28	esos
29	años
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Francia	PROPN	26	nsubj
2	,	PUNCT	4	punct
3	que	PRON	4	nsubj
4	vivía	VERB	1	acl
5	uno	PRON	4	obj
6	de	ADP	8	case
7	los	DET	8	det
8	momentos	NOUN	5	nmod
9	de	ADP	10	case
10	cambio	NOUN	8	nmod
11	más	ADV	12	advmod
12	importantes	ADJ	8	amod
13	de	ADP	16	case
14	su	DET	16	det
15	reciente	ADJ	16	amod
16	historia	NOUN	12	nmod
17	,	PUNCT	21	punct
18	casi	ADV	21	advmod
19	su	DET	21	det
20	segunda	ADJ	21	amod
21	revolución	NOUN	5	appos
22	,	PUNCT	4	punct
23	fue	AUX	26	cop
24	la	DET	26	det
25	gran	ADJ	26	amod
26	vedette	NOUN	0	root
27	de	ADP	29	case
28	esos	DET	29	det
29	años	NOUN	26	nmod
30	.	PUNCT	26	punct