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 concentration actuelle moyenne de méthane dans l'Arctique est d'environ 1,85 partie par million, soit la plus élevée depuis 400.000 ans, souligne Natalia Chakhova.
Postion	Tokenization
1	La
2	concentration
3	actuelle
4	moyenne
5	de
6	méthane
7	dans
8	l'
9	Arctique
10	est
11	d'
12	environ
13	1,85
14	partie
15	par
16	million
17	,
18	soit
19	la
20	plus
21	élevée
22	depuis
23	400.000
24	ans
25	,
26	souligne
27	Natalia
28	Chakhova
29	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	concentration	NOUN	14	nsubj
3	actuelle	ADJ	2	amod
4	moyenne	NOUN	2	conj
5	de	ADP	6	case
6	méthane	NOUN	2	nmod
7	dans	ADP	9	case
8	l'	DET	9	det
9	Arctique	PROPN	2	nmod
10	est	AUX	14	cop
11	d'	ADP	14	case
12	environ	ADV	13	advmod
13	1,85	NUM	14	nummod
14	partie	NOUN	0	root
15	par	ADP	16	case
16	million	NOUN	14	nmod
17	,	PUNCT	21	punct
18	soit	ADV	21	advmod
19	la	DET	21	advmod
20	plus	ADV	19	fixed
21	élevée	ADJ	14	amod
22	depuis	ADP	24	case
23	400.000	NUM	24	nummod
24	ans	NOUN	21	obl:arg
25	,	PUNCT	26	punct
26	souligne	VERB	14	parataxis
27	Natalia	PROPN	26	nsubj
28	Chakhova	PROPN	27	flat:name
29	.	PUNCT	14	punct