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 les points de collecte, les modules sont triés selon leur technologie (cristalline ou couches minces) puis transportés vers un centre de recyclage de PV CYCLE où ils sont triés.
Postion	Tokenization
1	Dans
2	les
3	points
4	de
5	collecte
6	,
7	les
8	modules
9	sont
10	triés
11	selon
12	leur
13	technologie
14	(
15	cristalline
16	ou
17	couches
18	minces
19	)
20	puis
21	transportés
22	vers
23	un
24	centre
25	de
26	recyclage
27	de
28	PV
29	CYCLE
30	où
31	ils
32	sont
33	triés
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Dans	ADP	3	case
2	les	DET	3	det
3	points	NOUN	10	obl:mod
4	de	ADP	5	case
5	collecte	NOUN	3	nmod
6	,	PUNCT	3	punct
7	les	DET	8	det
8	modules	NOUN	10	nsubj:pass
9	sont	AUX	10	aux:pass
10	triés	VERB	0	root
11	selon	ADP	13	case
12	leur	DET	13	det
13	technologie	NOUN	10	obl:mod
14	(	PUNCT	15	punct
15	cristalline	ADJ	13	amod
16	ou	CCONJ	17	cc
17	couches	NOUN	15	conj
18	minces	ADJ	17	amod
19	)	PUNCT	15	punct
20	puis	ADV	21	cc
21	transportés	VERB	10	conj
22	vers	ADP	24	case
23	un	DET	24	det
24	centre	NOUN	21	obl:mod
25	de	ADP	26	case
26	recyclage	NOUN	24	nmod
27	de	ADP	28	case
28	PV	PROPN	24	nmod
29	CYCLE	PROPN	28	flat:name
30	où	ADV	33	advmod
31	ils	PRON	33	nsubj:pass
32	sont	AUX	33	aux:pass
33	triés	VERB	28	acl:relcl
34	.	PUNCT	10	punct