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:
Jusqu'en 1960, il exerce sur plus de deux-cents films américains (pour les costumes féminins) et collabore notamment avec ses confrères Edith Head et Charles Le Maire.
Postion	Tokenization
1	Jusqu'
2	en
3	1960
4	,
5	il
6	exerce
7	sur
8	plus
9	de
10	deux-cents
11	films
12	américains
13	(
14	pour
15	les
16	costumes
17	féminins
18	)
19	et
20	collabore
21	notamment
22	avec
23	ses
24	confrères
25	Edith
26	Head
27	et
28	Charles
29	Le
30	Maire
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Jusqu'	ADP	3	case
2	en	ADP	3	case
3	1960	NUM	6	obl:mod
4	,	PUNCT	3	punct
5	il	PRON	6	nsubj
6	exerce	VERB	0	root
7	sur	ADP	8	case
8	plus	ADV	6	obl:mod
9	de	ADP	11	case
10	deux-cents	NUM	11	nummod
11	films	NOUN	8	dep:comp
12	américains	ADJ	11	amod
13	(	PUNCT	16	punct
14	pour	ADP	16	case
15	les	DET	16	det
16	costumes	NOUN	6	obl:mod
17	féminins	ADJ	16	amod
18	)	PUNCT	16	punct
19	et	CCONJ	20	cc
20	collabore	VERB	6	conj
21	notamment	ADV	20	advmod
22	avec	ADP	24	case
23	ses	DET	24	det
24	confrères	NOUN	20	obl:arg
25	Edith	PROPN	24	appos
26	Head	PROPN	25	flat:name
27	et	CCONJ	28	cc
28	Charles	PROPN	25	conj
29	Le	DET	28	flat:name
30	Maire	PROPN	29	flat:name
31	.	PUNCT	6	punct