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:
Il est connu principalement pour ses romans Orgueil et préjugés et zombies (2009) et Abraham Lincoln, chasseur de vampires (2010) placés aux meilleurs rang dans la liste de best-sellers de The New York Times.
Postion	Tokenization
1	Il
2	est
3	connu
4	principalement
5	pour
6	ses
7	romans
8	Orgueil
9	et
10	préjugés
11	et
12	zombies
13	(
14	2009
15	)
16	et
17	Abraham
18	Lincoln
19	,
20	chasseur
21	de
22	vampires
23	(
24	2010
25	)
26	placés
27	aux
28	à
29	les
30	meilleurs
31	rang
32	dans
33	la
34	liste
35	de
36	best-sellers
37	de
38	The
39	New
40	York
41	Times
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	nsubj:pass
2	est	AUX	3	aux:pass
3	connu	VERB	0	root
4	principalement	ADV	3	advmod
5	pour	ADP	7	case
6	ses	DET	7	det
7	romans	NOUN	3	obl:mod
8	Orgueil	NOUN	7	appos
9	et	CCONJ	10	cc
10	préjugés	NOUN	8	conj
11	et	CCONJ	12	cc
12	zombies	NOUN	8	conj
13	(	PUNCT	14	punct
14	2009	NUM	12	nmod
15	)	PUNCT	14	punct
16	et	CCONJ	17	cc
17	Abraham	PROPN	8	conj
18	Lincoln	PROPN	17	flat:name
19	,	PUNCT	20	punct
20	chasseur	NOUN	17	appos
21	de	ADP	22	case
22	vampires	NOUN	20	nmod
23	(	PUNCT	24	punct
24	2010	NUM	17	nmod
25	)	PUNCT	24	punct
26	placés	VERB	7	acl
27	aux	_	None	_
28	à	ADP	30	case
29	les	DET	30	det
30	meilleurs	ADJ	30	amod
31	rang	NOUN	26	obl:arg
32	dans	ADP	33	case
33	la	DET	33	det
34	liste	NOUN	26	obl:mod
35	de	ADP	35	case
36	best-sellers	NOUN	33	nmod
37	de	ADP	37	case
38	The	PROPN	33	nmod
39	New	PROPN	37	flat:name
40	York	PROPN	38	flat:name
41	Times	PROPN	39	flat:name
42	.	PUNCT	3	punct