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:
On pense qu'il y fit la connaissance de Jean Heynlin et de Guillaume Fichet, qui avaient introduit l'imprimerie à Paris pour la première fois, vers 1470, en y appelant des imprimeurs mayençais formés auprès de Gutenberg et ses successeurs, Michel Friburger, Ulrich Gering et Martin Crants.
Postion	Tokenization
1	On
2	pense
3	qu'
4	il
5	y
6	fit
7	la
8	connaissance
9	de
10	Jean
11	Heynlin
12	et
13	de
14	Guillaume
15	Fichet
16	,
17	qui
18	avaient
19	introduit
20	l'
21	imprimerie
22	à
23	Paris
24	pour
25	la
26	première
27	fois
28	,
29	vers
30	1470
31	,
32	en
33	y
34	appelant
35	des
36	imprimeurs
37	mayençais
38	formés
39	auprès
40	de
41	Gutenberg
42	et
43	ses
44	successeurs
45	,
46	Michel
47	Friburger
48	,
49	Ulrich
50	Gering
51	et
52	Martin
53	Crants
54	.
Position	Tokenization	UPOS	Head	Deprel
1	On	PRON	2	nsubj
2	pense	VERB	0	root
3	qu'	SCONJ	6	mark
4	il	PRON	6	nsubj
5	y	PRON	6	obl:mod
6	fit	VERB	2	ccomp:obj
7	la	DET	8	det
8	connaissance	NOUN	6	obj
9	de	ADP	10	case
10	Jean	PROPN	8	nmod
11	Heynlin	PROPN	10	flat:name
12	et	CCONJ	14	cc
13	de	ADP	14	case
14	Guillaume	PROPN	10	conj
15	Fichet	PROPN	14	flat:name
16	,	PUNCT	19	punct
17	qui	PRON	19	nsubj
18	avaient	AUX	19	aux:tense
19	introduit	VERB	14	acl:relcl
20	l'	DET	21	det
21	imprimerie	NOUN	19	obj
22	à	ADP	23	case
23	Paris	PROPN	19	obl:arg
24	pour	ADP	27	case
25	la	DET	27	det
26	première	ADJ	27	amod
27	fois	NOUN	19	obl:mod
28	,	PUNCT	30	punct
29	vers	ADP	30	case
30	1470	NUM	19	obl:mod
31	,	PUNCT	30	punct
32	en	ADP	34	mark
33	y	PRON	34	obl:mod
34	appelant	VERB	19	advcl
35	des	DET	36	det
36	imprimeurs	NOUN	34	obj
37	mayençais	ADJ	36	amod
38	formés	VERB	36	acl
39	auprès	ADV	38	advmod
40	de	ADP	41	case
41	Gutenberg	PROPN	39	obl:arg
42	et	CCONJ	44	cc
43	ses	DET	44	det
44	successeurs	NOUN	41	conj
45	,	PUNCT	46	punct
46	Michel	PROPN	44	appos
47	Friburger	PROPN	46	flat:name
48	,	PUNCT	49	punct
49	Ulrich	PROPN	46	conj
50	Gering	PROPN	49	flat:name
51	et	CCONJ	52	cc
52	Martin	PROPN	46	conj
53	Crants	PROPN	52	flat:name
54	.	PUNCT	2	punct