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 francesa originaria de Guadalupe, nacida el 9 de mayo de 1968, ha ganado a la australiana en siete de las nueve veces que se han encontrado.
Postion	Tokenization
1	La
2	francesa
3	originaria
4	de
5	Guadalupe
6	,
7	nacida
8	el
9	9
10	de
11	mayo
12	de
13	1968
14	,
15	ha
16	ganado
17	a
18	la
19	australiana
20	en
21	siete
22	de
23	las
24	nueve
25	veces
26	que
27	se
28	han
29	encontrado
30	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	francesa	NOUN	16	nsubj
3	originaria	ADJ	2	amod
4	de	ADP	5	case
5	Guadalupe	PROPN	3	nmod
6	,	PUNCT	7	punct
7	nacida	ADJ	2	amod
8	el	DET	9	det
9	9	NUM	7	obl
10	de	ADP	11	case
11	mayo	NOUN	9	compound
12	de	ADP	13	case
13	1968	NUM	9	compound
14	,	PUNCT	7	punct
15	ha	AUX	16	aux
16	ganado	VERB	0	root
17	a	ADP	19	case
18	la	DET	19	det
19	australiana	NOUN	16	obj
20	en	ADP	21	case
21	siete	NUM	16	obl
22	de	ADP	25	case
23	las	DET	25	det
24	nueve	NUM	23	nummod
25	veces	NOUN	21	nmod
26	que	PRON	29	obl
27	se	PRON	29	obj
28	han	AUX	29	aux
29	encontrado	VERB	25	acl
30	.	PUNCT	16	punct