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:
Pendant deux ans, ce dernier effectuera des voyages incessants entre Paris, Floirac et Rennes où il a une charge d'enseignant à la faculté de médecine.
Postion	Tokenization
1	Pendant
2	deux
3	ans
4	,
5	ce
6	dernier
7	effectuera
8	des
9	voyages
10	incessants
11	entre
12	Paris
13	,
14	Floirac
15	et
16	Rennes
17	où
18	il
19	a
20	une
21	charge
22	d'
23	enseignant
24	à
25	la
26	faculté
27	de
28	médecine
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Pendant	ADP	3	case
2	deux	NUM	3	nummod
3	ans	NOUN	7	obl:mod
4	,	PUNCT	3	punct
5	ce	DET	6	det
6	dernier	ADJ	7	nsubj
7	effectuera	VERB	0	root
8	des	DET	9	det
9	voyages	NOUN	7	obj
10	incessants	ADJ	9	amod
11	entre	ADP	12	case
12	Paris	PROPN	7	obl:mod
13	,	PUNCT	14	punct
14	Floirac	PROPN	12	conj
15	et	CCONJ	16	cc
16	Rennes	PROPN	12	conj
17	où	ADV	19	advmod
18	il	PRON	19	nsubj
19	a	VERB	16	acl:relcl
20	une	DET	21	det
21	charge	NOUN	19	obj
22	d'	ADP	23	case
23	enseignant	NOUN	21	nmod
24	à	ADP	26	case
25	la	DET	26	det
26	faculté	NOUN	19	obl:mod
27	de	ADP	28	case
28	médecine	NOUN	26	nmod
29	.	PUNCT	7	punct