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:
Parti le 16 mars de la Gare de l'Est à Paris, le Train pour l'Emploi et l'Egalité des Chances arrivera le 31 à la gare du Nord.
Postion	Tokenization
1	Parti
2	le
3	16
4	mars
5	de
6	la
7	Gare
8	de
9	l'
10	Est
11	à
12	Paris
13	,
14	le
15	Train
16	pour
17	l'
18	Emploi
19	et
20	l'
21	Egalité
22	des
23	de
24	les
25	Chances
26	arrivera
27	le
28	31
29	à
30	la
31	gare
32	du
33	de
34	le
35	Nord
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Parti	VERB	25	advcl
2	le	DET	3	det
3	16	NUM	1	obl:mod
4	mars	NOUN	3	nmod
5	de	ADP	7	case
6	la	DET	7	det
7	Gare	NOUN	1	obl:arg
8	de	ADP	10	case
9	l'	DET	10	det
10	Est	NOUN	7	nmod
11	à	ADP	12	case
12	Paris	PROPN	7	nmod
13	,	PUNCT	1	punct
14	le	DET	15	det
15	Train	NOUN	25	nsubj
16	pour	ADP	18	case
17	l'	DET	18	det
18	Emploi	PROPN	15	nmod
19	et	CCONJ	21	cc
20	l'	DET	21	det
21	Egalité	NOUN	18	conj
22	des	_	None	_
23	de	ADP	24	case
24	les	DET	24	det
25	Chances	NOUN	21	nmod
26	arrivera	VERB	0	root
27	le	DET	27	det
28	31	NUM	25	obl:mod
29	à	ADP	30	case
30	la	DET	30	det
31	gare	NOUN	25	obl:arg
32	du	_	None	_
33	de	ADP	33	case
34	le	DET	33	det
35	Nord	NOUN	30	nmod
36	.	PUNCT	25	punct