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:
Elle aborde aussi différents thèmes de société comme l'engagement citoyen, les discriminations, la santé, la culture.
Postion	Tokenization
1	Elle
2	aborde
3	aussi
4	différents
5	thèmes
6	de
7	société
8	comme
9	l'
10	engagement
11	citoyen
12	,
13	les
14	discriminations
15	,
16	la
17	santé
18	,
19	la
20	culture
21	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	2	nsubj
2	aborde	VERB	0	root
3	aussi	ADV	2	advmod
4	différents	DET	5	det
5	thèmes	NOUN	2	obj
6	de	ADP	7	case
7	société	NOUN	5	nmod
8	comme	ADP	10	case
9	l'	DET	10	det
10	engagement	NOUN	5	nmod
11	citoyen	ADJ	10	amod
12	,	PUNCT	14	punct
13	les	DET	14	det
14	discriminations	NOUN	10	conj
15	,	PUNCT	17	punct
16	la	DET	17	det
17	santé	NOUN	10	conj
18	,	PUNCT	20	punct
19	la	DET	20	det
20	culture	NOUN	10	conj
21	.	PUNCT	2	punct