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:
Le 9 juillet 1755, il prit part à la bataille qui opposa Daniel-Hyacinthe-Marie Liénard de Beaujeu à Edward Braddock près du fort Duquesne (aujourd'hui Pittsburgh, en Pennsylvanie).
Postion	Tokenization
1	Le
2	9
3	juillet
4	1755
5	,
6	il
7	prit
8	part
9	à
10	la
11	bataille
12	qui
13	opposa
14	Daniel
15	-
16	Hyacinthe
17	-
18	Marie
19	Liénard
20	de
21	Beaujeu
22	à
23	Edward
24	Braddock
25	près
26	du
27	de
28	le
29	fort
30	Duquesne
31	(
32	aujourd'hui
33	Pittsburgh
34	,
35	en
36	Pennsylvanie
37	)
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	9	NUM	7	obl:mod
3	juillet	NOUN	2	nmod
4	1755	NUM	3	nmod
5	,	PUNCT	2	punct
6	il	PRON	7	nsubj
7	prit	VERB	0	root
8	part	NOUN	7	obj:lvc
9	à	ADP	11	case
10	la	DET	11	det
11	bataille	NOUN	7	obl:arg
12	qui	PRON	13	nsubj
13	opposa	VERB	11	acl:relcl
14	Daniel	PROPN	13	obj
15	-	PUNCT	16	punct
16	Hyacinthe	PROPN	14	flat:name
17	-	PUNCT	18	punct
18	Marie	PROPN	16	flat:name
19	Liénard	PROPN	18	flat:name
20	de	ADP	19	flat:name
21	Beaujeu	PROPN	20	flat:name
22	à	ADP	23	case
23	Edward	PROPN	13	obl:arg
24	Braddock	PROPN	23	flat:name
25	près	ADV	13	advmod
26	du	_	None	_
27	de	ADP	28	case
28	le	DET	28	det
29	fort	NOUN	25	obl:arg
30	Duquesne	PROPN	28	appos
31	(	PUNCT	32	punct
32	aujourd'hui	ADV	32	advmod
33	Pittsburgh	PROPN	28	appos
34	,	PUNCT	35	punct
35	en	ADP	35	case
36	Pennsylvanie	PROPN	32	nmod
37	)	PUNCT	32	punct
38	.	PUNCT	7	punct