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:
Christopher Charles Dyer (né en 1944) est professeur d'histoire médiévale et directeur du Centre pour l'histoire locale anglaise à l'Université de Leicester.
Postion	Tokenization
1	Christopher
2	Charles
3	Dyer
4	(
5	né
6	en
7	1944
8	)
9	est
10	professeur
11	d'
12	histoire
13	médiévale
14	et
15	directeur
16	du
17	de
18	le
19	Centre
20	pour
21	l'
22	histoire
23	locale
24	anglaise
25	à
26	l'
27	Université
28	de
29	Leicester
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Christopher	PROPN	10	nsubj
2	Charles	PROPN	1	flat:name
3	Dyer	PROPN	2	flat:name
4	(	PUNCT	5	punct
5	né	VERB	1	acl
6	en	ADP	7	case
7	1944	NUM	5	obl:arg
8	)	PUNCT	5	punct
9	est	AUX	10	cop
10	professeur	NOUN	0	root
11	d'	ADP	12	case
12	histoire	NOUN	10	nmod
13	médiévale	ADJ	12	amod
14	et	CCONJ	15	cc
15	directeur	NOUN	10	conj
16	du	_	None	_
17	de	ADP	18	case
18	le	DET	18	det
19	Centre	NOUN	15	nmod
20	pour	ADP	21	case
21	l'	DET	21	det
22	histoire	NOUN	18	nmod
23	locale	ADJ	21	amod
24	anglaise	ADJ	21	amod
25	à	ADP	26	case
26	l'	DET	26	det
27	Université	NOUN	15	nmod
28	de	ADP	28	case
29	Leicester	PROPN	26	nmod
30	.	PUNCT	10	punct