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:
Après le raccordement de La Folie, en direction de Paris, les rames empruntant des infrastructures nouvelles, cet échange des circulations permettra de libérer de la capacité en gare de Paris Saint-Lazare.
Postion	Tokenization
1	Après
2	le
3	raccordement
4	de
5	La
6	Folie
7	,
8	en
9	direction
10	de
11	Paris
12	,
13	les
14	rames
15	empruntant
16	des
17	infrastructures
18	nouvelles
19	,
20	cet
21	échange
22	des
23	de
24	les
25	circulations
26	permettra
27	de
28	libérer
29	de
30	la
31	capacité
32	en
33	gare
34	de
35	Paris
36	Saint-Lazare
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	3	case
2	le	DET	3	det
3	raccordement	NOUN	25	obl:mod
4	de	ADP	6	case
5	La	DET	6	det
6	Folie	PROPN	3	nmod
7	,	PUNCT	9	punct
8	en	ADP	9	case
9	direction	NOUN	3	nmod
10	de	ADP	11	case
11	Paris	PROPN	9	nmod
12	,	PUNCT	9	punct
13	les	DET	14	det
14	rames	NOUN	15	nsubj
15	empruntant	VERB	25	advcl
16	des	DET	17	det
17	infrastructures	NOUN	15	obj
18	nouvelles	ADJ	17	amod
19	,	PUNCT	15	punct
20	cet	DET	21	det
21	échange	NOUN	25	nsubj
22	des	_	None	_
23	de	ADP	24	case
24	les	DET	24	det
25	circulations	NOUN	21	nmod
26	permettra	VERB	0	root
27	de	ADP	27	mark
28	libérer	VERB	25	xcomp:obj
29	de	ADP	30	det
30	la	DET	28	fixed
31	capacité	NOUN	27	obj
32	en	ADP	32	case
33	gare	NOUN	30	nmod
34	de	ADP	34	case
35	Paris	PROPN	32	nmod
36	Saint-Lazare	PROPN	34	flat:name
37	.	PUNCT	25	punct