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:
Pour trouver sa façon de représenter Wood, Depp étudie le jeu d'acteur de Mickey Rooney, Ronald Reagan et Casey Kasem.
Postion	Tokenization
1	Pour
2	trouver
3	sa
4	façon
5	de
6	représenter
7	Wood
8	,
9	Depp
10	étudie
11	le
12	jeu
13	d'
14	acteur
15	de
16	Mickey
17	Rooney
18	,
19	Ronald
20	Reagan
21	et
22	Casey
23	Kasem
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Pour	ADP	2	mark
2	trouver	VERB	10	advcl
3	sa	DET	4	det
4	façon	NOUN	2	obj
5	de	ADP	6	mark
6	représenter	VERB	4	acl
7	Wood	PROPN	6	obj
8	,	PUNCT	2	punct
9	Depp	PROPN	10	nsubj
10	étudie	VERB	0	root
11	le	DET	12	det
12	jeu	NOUN	10	obj
13	d'	ADP	14	case
14	acteur	NOUN	12	nmod
15	de	ADP	16	case
16	Mickey	PROPN	12	nmod
17	Rooney	PROPN	16	flat:name
18	,	PUNCT	19	punct
19	Ronald	PROPN	16	conj
20	Reagan	PROPN	19	flat:name
21	et	CCONJ	22	cc
22	Casey	PROPN	16	conj
23	Kasem	PROPN	22	flat:name
24	.	PUNCT	10	punct