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:
En allant célébrer les obsèques de ma grand mère à Nantes, où le curé de Saint-Clément, en mémoire d'elle je crois, m'a servi la messe avec une extrême gentillesse, je me suis plongé dans un livre que je m'étais fait offrir mais dont j'ai longtemps différé la lecture, le Marcion d'Adolf von Harnack.
Postion	Tokenization
1	En
2	allant
3	célébrer
4	les
5	obsèques
6	de
7	ma
8	grand
9	mère
10	à
11	Nantes
12	,
13	où
14	le
15	curé
16	de
17	Saint-Clément
18	,
19	en
20	mémoire
21	d'
22	elle
23	je
24	crois
25	,
26	m'
27	a
28	servi
29	la
30	messe
31	avec
32	une
33	extrême
34	gentillesse
35	,
36	je
37	me
38	suis
39	plongé
40	dans
41	un
42	livre
43	que
44	je
45	m'
46	étais
47	fait
48	offrir
49	mais
50	dont
51	j'
52	ai
53	longtemps
54	différé
55	la
56	lecture
57	,
58	le
59	Marcion
60	d'
61	Adolf
62	von
63	Harnack
64	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	mark
2	allant	VERB	39	advcl
3	célébrer	VERB	2	xcomp:obj
4	les	DET	5	det
5	obsèques	NOUN	3	obj
6	de	ADP	8	case
7	ma	DET	8	det
8	grand	ADJ	5	nmod
9	mère	NOUN	8	goeswith
10	à	ADP	11	case
11	Nantes	PROPN	5	nmod
12	,	PUNCT	28	punct
13	où	ADV	28	advmod
14	le	DET	15	det
15	curé	NOUN	28	nsubj
16	de	ADP	17	case
17	Saint-Clément	PROPN	15	nmod
18	,	PUNCT	15	punct
19	en	ADP	20	case
20	mémoire	NOUN	28	obl:mod
21	d'	ADP	22	case
22	elle	PRON	20	nmod
23	je	PRON	24	nsubj
24	crois	VERB	20	parataxis
25	,	PUNCT	20	punct
26	m'	PRON	28	obl:arg
27	a	AUX	28	aux:tense
28	servi	VERB	5	acl:relcl
29	la	DET	30	det
30	messe	NOUN	28	obj
31	avec	ADP	34	case
32	une	DET	34	det
33	extrême	ADJ	34	amod
34	gentillesse	NOUN	28	obl:mod
35	,	PUNCT	2	punct
36	je	PRON	39	nsubj
37	me	PRON	39	obj
38	suis	AUX	39	aux:tense
39	plongé	VERB	0	root
40	dans	ADP	42	case
41	un	DET	42	det
42	livre	NOUN	39	obl:arg
43	que	PRON	48	obj
44	je	PRON	48	nsubj:caus
45	m'	PRON	48	obl:arg
46	étais	AUX	48	aux:tense
47	fait	AUX	48	aux:caus
48	offrir	VERB	42	acl:relcl
49	mais	CCONJ	54	cc
50	dont	PRON	56	nmod
51	j'	PRON	54	nsubj
52	ai	AUX	54	aux:tense
53	longtemps	ADV	54	advmod
54	différé	VERB	48	conj
55	la	DET	56	det
56	lecture	NOUN	54	obj
57	,	PUNCT	59	punct
58	le	DET	59	det
59	Marcion	PROPN	42	appos
60	d'	ADP	61	case
61	Adolf	PROPN	59	nmod
62	von	ADP	61	flat:name
63	Harnack	PROPN	62	flat:name
64	.	PUNCT	39	punct