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 actor francés, de 66 años, representaba el papel principal de la obra Frederick ou le Boulevard du Crime en un teatro de Brest (Francia).
Postion	Tokenization
1	El
2	actor
3	francés
4	,
5	de
6	66
7	años
8	,
9	representaba
10	el
11	papel
12	principal
13	de
14	la
15	obra
16	Frederick
17	ou
18	le
19	Boulevard
20	du
21	Crime
22	en
23	un
24	teatro
25	de
26	Brest
27	(
28	Francia
29	)
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	actor	NOUN	9	nsubj
3	francés	ADJ	2	amod
4	,	PUNCT	7	punct
5	de	ADP	7	case
6	66	NUM	7	nummod
7	años	NOUN	2	nmod
8	,	PUNCT	7	punct
9	representaba	VERB	0	root
10	el	DET	11	det
11	papel	NOUN	9	obj
12	principal	ADJ	11	amod
13	de	ADP	15	case
14	la	DET	15	det
15	obra	NOUN	11	nmod
16	Frederick	PROPN	15	appos
17	ou	CCONJ	18	cc
18	le	PRON	16	conj
19	Boulevard	PROPN	18	flat
20	du	PROPN	18	flat
21	Crime	PROPN	18	flat
22	en	ADP	24	case
23	un	DET	24	det
24	teatro	NOUN	9	obl
25	de	ADP	26	case
26	Brest	PROPN	24	nmod
27	(	PUNCT	28	punct
28	Francia	PROPN	26	flat
29	)	PUNCT	28	punct
30	.	PUNCT	9	punct