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:
La Route verte est un itinéraire touristique reliant Bordeaux à Royan en Charente-Maritime, passant par Blaye et longeant au plus près l'estuaire de la Gironde.
Postion	Tokenization
1	La
2	Route
3	verte
4	est
5	un
6	itinéraire
7	touristique
8	reliant
9	Bordeaux
10	à
11	Royan
12	en
13	Charente-Maritime
14	,
15	passant
16	par
17	Blaye
18	et
19	longeant
20	au
21	à
22	le
23	plus
24	près
25	l'
26	estuaire
27	de
28	la
29	Gironde
30	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Route	NOUN	6	nsubj
3	verte	ADJ	2	amod
4	est	AUX	6	cop
5	un	DET	6	det
6	itinéraire	NOUN	0	root
7	touristique	ADJ	6	amod
8	reliant	VERB	6	acl
9	Bordeaux	PROPN	8	obj
10	à	ADP	11	case
11	Royan	PROPN	8	obl:arg
12	en	ADP	13	case
13	Charente-Maritime	PROPN	11	nmod
14	,	PUNCT	15	punct
15	passant	VERB	8	conj
16	par	ADP	17	case
17	Blaye	PROPN	15	obl:arg
18	et	CCONJ	19	cc
19	longeant	VERB	8	conj
20	au	_	None	_
21	à	ADP	23	case
22	le	DET	23	advmod
23	plus	ADV	21	fixed
24	près	ADV	19	obl:mod
25	l'	DET	25	det
26	estuaire	NOUN	19	obj
27	de	ADP	28	case
28	la	DET	28	det
29	Gironde	PROPN	25	nmod
30	.	PUNCT	6	punct