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:
Fréquentant à Barcelone l'école des Beaux-Arts de Sant Jordi à partir de 1953, Borrell évolue en 1955 de la figuration à l'expressionnisme abstrait.
Postion	Tokenization
1	Fréquentant
2	à
3	Barcelone
4	l'
5	école
6	des
7	de
8	les
9	Beaux-Arts
10	de
11	Sant
12	Jordi
13	à
14	partir
15	de
16	1953
17	,
18	Borrell
19	évolue
20	en
21	1955
22	de
23	la
24	figuration
25	à
26	l'
27	expressionnisme
28	abstrait
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Fréquentant	VERB	18	advcl
2	à	ADP	3	case
3	Barcelone	PROPN	1	obl:mod
4	l'	DET	5	det
5	école	NOUN	1	obj
6	des	_	None	_
7	de	ADP	8	case
8	les	DET	8	det
9	Beaux-Arts	PROPN	5	nmod
10	de	ADP	10	case
11	Sant	PROPN	5	nmod
12	Jordi	PROPN	10	flat:name
13	à	ADP	1	advmod
14	partir	VERB	12	fixed
15	de	ADP	15	case
16	1953	NUM	12	obl:arg
17	,	PUNCT	1	punct
18	Borrell	PROPN	18	nsubj
19	évolue	VERB	0	root
20	en	ADP	20	case
21	1955	NUM	18	obl:mod
22	de	ADP	23	case
23	la	DET	23	det
24	figuration	NOUN	18	obl:arg
25	à	ADP	26	case
26	l'	DET	26	det
27	expressionnisme	NOUN	18	obl:arg
28	abstrait	ADJ	26	amod
29	.	PUNCT	18	punct