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:
Dans la mythologie grecque et romaine, les pégées (en latin Pegaeae) sont les nymphes qui peuplent les sources.
Postion	Tokenization
1	Dans
2	la
3	mythologie
4	grecque
5	et
6	romaine
7	,
8	les
9	pégées
10	(
11	en
12	latin
13	Pegaeae
14	)
15	sont
16	les
17	nymphes
18	qui
19	peuplent
20	les
21	sources
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Dans	ADP	3	case
2	la	DET	3	det
3	mythologie	NOUN	17	obl:mod
4	grecque	ADJ	3	amod
5	et	CCONJ	6	cc
6	romaine	ADJ	4	conj
7	,	PUNCT	3	punct
8	les	DET	9	det
9	pégées	NOUN	17	nsubj
10	(	PUNCT	12	punct
11	en	ADP	12	case
12	latin	NOUN	9	nmod
13	Pegaeae	NOUN	12	appos
14	)	PUNCT	12	punct
15	sont	AUX	17	cop
16	les	DET	17	det
17	nymphes	NOUN	0	root
18	qui	PRON	19	nsubj
19	peuplent	VERB	17	acl:relcl
20	les	DET	21	det
21	sources	NOUN	19	obj
22	.	PUNCT	17	punct