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:
Le trafic international sera normal vendredi sur Eurostar, Thalys, et sur les trains à grande vitesse à destination de l'Allemagne, a indiqué la SNCF dans un communiqué.
Postion	Tokenization
1	Le
2	trafic
3	international
4	sera
5	normal
6	vendredi
7	sur
8	Eurostar
9	,
10	Thalys
11	,
12	et
13	sur
14	les
15	trains
16	à
17	grande
18	vitesse
19	à
20	destination
21	de
22	l'
23	Allemagne
24	,
25	a
26	indiqué
27	la
28	SNCF
29	dans
30	un
31	communiqué
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	trafic	NOUN	5	nsubj
3	international	ADJ	2	amod
4	sera	AUX	5	cop
5	normal	ADJ	0	root
6	vendredi	NOUN	5	obl:mod
7	sur	ADP	8	case
8	Eurostar	PROPN	5	obl:mod
9	,	PUNCT	10	punct
10	Thalys	PROPN	8	conj
11	,	PUNCT	15	punct
12	et	CCONJ	15	cc
13	sur	ADP	15	case
14	les	DET	15	det
15	trains	NOUN	8	conj
16	à	ADP	18	case
17	grande	ADJ	18	amod
18	vitesse	NOUN	15	nmod
19	à	ADP	20	case
20	destination	NOUN	15	nmod
21	de	ADP	23	case
22	l'	DET	23	det
23	Allemagne	PROPN	20	nmod
24	,	PUNCT	26	punct
25	a	AUX	26	aux:tense
26	indiqué	VERB	5	parataxis
27	la	DET	28	det
28	SNCF	PROPN	26	nsubj
29	dans	ADP	31	case
30	un	DET	31	det
31	communiqué	NOUN	26	obl:mod
32	.	PUNCT	5	punct