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 publie également un roman, What answer (1868), sur le thème du mariage interracial, se tournant ensuite vers le théâtre, à la fois comme dramaturge et comme actrice.
Postion	Tokenization
1	Elle
2	publie
3	également
4	un
5	roman
6	,
7	What
8	answer
9	(
10	1868
11	)
12	,
13	sur
14	le
15	thème
16	du
17	de
18	le
19	mariage
20	interracial
21	,
22	se
23	tournant
24	ensuite
25	vers
26	le
27	théâtre
28	,
29	à
30	la
31	fois
32	comme
33	dramaturge
34	et
35	comme
36	actrice
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	2	nsubj
2	publie	VERB	0	root
3	également	ADV	2	advmod
4	un	DET	5	det
5	roman	NOUN	2	obj
6	,	PUNCT	7	punct
7	What	PROPN	5	appos
8	answer	PROPN	7	flat:name
9	(	PUNCT	10	punct
10	1868	NUM	7	nmod
11	)	PUNCT	10	punct
12	,	PUNCT	15	punct
13	sur	ADP	15	case
14	le	DET	15	det
15	thème	NOUN	5	nmod
16	du	_	None	_
17	de	ADP	18	case
18	le	DET	18	det
19	mariage	NOUN	15	nmod
20	interracial	ADJ	18	amod
21	,	PUNCT	22	punct
22	se	PRON	22	obj
23	tournant	VERB	5	acl
24	ensuite	ADV	22	advmod
25	vers	ADP	26	case
26	le	DET	26	det
27	théâtre	NOUN	22	obl:mod
28	,	PUNCT	32	punct
29	à	ADP	32	advmod
30	la	DET	28	fixed
31	fois	NOUN	28	fixed
32	comme	ADP	32	case
33	dramaturge	NOUN	22	obl:mod
34	et	CCONJ	35	cc
35	comme	ADP	35	case
36	actrice	NOUN	32	conj
37	.	PUNCT	2	punct