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:
Puis elle rejoint Hollywood où, de 1930 à 1942, elle participe à 175 films américains au sein de la Metro-Goldwyn-Mayer, principalement comme conceptrice de robes, entre autres aux côtés d'Adrian.
Postion	Tokenization
1	Puis
2	elle
3	rejoint
4	Hollywood
5	où
6	,
7	de
8	1930
9	à
10	1942
11	,
12	elle
13	participe
14	à
15	175
16	films
17	américains
18	au
19	à
20	le
21	sein
22	de
23	la
24	Metro-Goldwyn-Mayer
25	,
26	principalement
27	comme
28	conceptrice
29	de
30	robes
31	,
32	entre
33	autres
34	aux
35	à
36	les
37	côtés
38	d'
39	Adrian
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Puis	ADV	3	cc
2	elle	PRON	3	nsubj
3	rejoint	VERB	0	root
4	Hollywood	PROPN	3	obj
5	où	ADV	13	advmod
6	,	PUNCT	8	punct
7	de	ADP	8	case
8	1930	NUM	13	obl:mod
9	à	ADP	10	case
10	1942	NUM	8	nmod
11	,	PUNCT	8	punct
12	elle	PRON	13	nsubj
13	participe	VERB	4	acl:relcl
14	à	ADP	16	case
15	175	NUM	16	nummod
16	films	NOUN	13	obl:arg
17	américains	ADJ	16	amod
18	au	_	None	_
19	à	ADP	20	case
20	le	DET	20	det
21	sein	NOUN	13	obl:mod
22	de	ADP	23	case
23	la	DET	23	det
24	Metro-Goldwyn-Mayer	PROPN	20	nmod
25	,	PUNCT	27	punct
26	principalement	ADV	27	advmod
27	comme	ADP	27	case
28	conceptrice	NOUN	13	obl:mod
29	de	ADP	29	case
30	robes	NOUN	27	nmod
31	,	PUNCT	33	punct
32	entre	ADP	32	case
33	autres	PRON	33	obl:mod
34	aux	_	None	_
35	à	ADP	13	advmod
36	les	DET	33	fixed
37	côtés	NOUN	33	fixed
38	d'	ADP	37	case
39	Adrian	PROPN	33	obl:arg
40	.	PUNCT	3	punct