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:
Les forêts régionales comprennent notamment la forêt de Rosny (1221 ha), de Moisson (328 ha) et celle de Verneuil (145 ha).
Postion	Tokenization
1	Les
2	forêts
3	régionales
4	comprennent
5	notamment
6	la
7	forêt
8	de
9	Rosny
10	(
11	1221
12	ha
13	)
14	,
15	de
16	Moisson
17	(
18	328
19	ha
20	)
21	et
22	celle
23	de
24	Verneuil
25	(
26	145
27	ha
28	)
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	forêts	NOUN	4	nsubj
3	régionales	ADJ	2	amod
4	comprennent	VERB	0	root
5	notamment	ADV	4	advmod
6	la	DET	7	det
7	forêt	NOUN	4	xcomp:pred
8	de	ADP	9	case
9	Rosny	PROPN	7	nmod
10	(	PUNCT	12	punct
11	1221	NUM	12	nummod
12	ha	NOUN	9	nmod
13	)	PUNCT	12	punct
14	,	PUNCT	16	punct
15	de	ADP	16	case
16	Moisson	PROPN	9	conj
17	(	PUNCT	19	punct
18	328	NUM	19	nummod
19	ha	NOUN	16	nmod
20	)	PUNCT	19	punct
21	et	CCONJ	22	cc
22	celle	PRON	7	conj
23	de	ADP	24	case
24	Verneuil	PROPN	22	nmod
25	(	PUNCT	27	punct
26	145	NUM	27	nummod
27	ha	NOUN	24	nmod
28	)	PUNCT	27	punct
29	.	PUNCT	4	punct