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:
Et pourtant, les juges auraient facilement pu être convaincus qu'une fille élevée dans la maison de la célèbre Nééra était également une hétaïre.
Postion	Tokenization
1	Et
2	pourtant
3	,
4	les
5	juges
6	auraient
7	facilement
8	pu
9	être
10	convaincus
11	qu'
12	une
13	fille
14	élevée
15	dans
16	la
17	maison
18	de
19	la
20	célèbre
21	Nééra
22	était
23	également
24	une
25	hétaïre
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Et	CCONJ	8	cc
2	pourtant	ADV	8	advmod
3	,	PUNCT	2	punct
4	les	DET	5	det
5	juges	NOUN	8	nsubj
6	auraient	AUX	8	aux:tense
7	facilement	ADV	8	advmod
8	pu	VERB	0	root
9	être	AUX	10	aux:pass
10	convaincus	VERB	8	xcomp:obj
11	qu'	SCONJ	25	mark
12	une	DET	13	det
13	fille	NOUN	25	nsubj
14	élevée	ADJ	13	amod
15	dans	ADP	17	case
16	la	DET	17	det
17	maison	NOUN	14	obl:mod
18	de	ADP	21	case
19	la	DET	21	det
20	célèbre	ADJ	21	amod
21	Nééra	PROPN	17	nmod
22	était	AUX	25	cop
23	également	ADV	25	advmod
24	une	DET	25	det
25	hétaïre	NOUN	10	ccomp:obl
26	.	PUNCT	8	punct