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:
Dans la région Rhin-Main, beaucoup de rames de la série 420 sont encore en service, en particulier sur les lignes S7, S8 et S9 du S-Bahn Rhin-Main.
Postion	Tokenization
1	Dans
2	la
3	région
4	Rhin-Main
5	,
6	beaucoup
7	de
8	rames
9	de
10	la
11	série
12	420
13	sont
14	encore
15	en
16	service
17	,
18	en
19	particulier
20	sur
21	les
22	lignes
23	S7
24	,
25	S8
26	et
27	S9
28	du
29	de
30	le
31	S-Bahn
32	Rhin-Main
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Dans	ADP	3	case
2	la	DET	3	det
3	région	NOUN	16	obl:mod
4	Rhin-Main	PROPN	3	appos
5	,	PUNCT	3	punct
6	beaucoup	ADV	16	nsubj
7	de	ADP	8	case
8	rames	NOUN	6	dep:comp
9	de	ADP	11	case
10	la	DET	11	det
11	série	NOUN	8	nmod
12	420	NUM	11	nmod
13	sont	AUX	16	cop
14	encore	ADV	16	advmod
15	en	ADP	16	case
16	service	NOUN	0	root
17	,	PUNCT	22	punct
18	en	ADP	22	advmod
19	particulier	NOUN	18	fixed
20	sur	ADP	22	case
21	les	DET	22	det
22	lignes	NOUN	16	obl:mod
23	S7	X	22	appos
24	,	PUNCT	25	punct
25	S8	X	23	conj
26	et	CCONJ	27	cc
27	S9	X	23	conj
28	du	_	None	_
29	de	ADP	30	case
30	le	DET	30	det
31	S-Bahn	PROPN	22	nmod
32	Rhin-Main	PROPN	30	appos
33	.	PUNCT	16	punct