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:
Élève à l'École Niedermeyer de Paris à partir de 1857, il eut Clément Loret et Camille Saint-Saëns comme professeurs.
Postion	Tokenization
1	Élève
2	à
3	l'
4	École
5	Niedermeyer
6	de
7	Paris
8	à
9	partir
10	de
11	1857
12	,
13	il
14	eut
15	Clément
16	Loret
17	et
18	Camille
19	Saint-Saëns
20	comme
21	professeurs
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Élève	NOUN	14	advcl
2	à	ADP	4	case
3	l'	DET	4	det
4	École	NOUN	1	nmod
5	Niedermeyer	PROPN	4	appos
6	de	ADP	7	case
7	Paris	PROPN	4	nmod
8	à	ADP	1	advmod
9	partir	VERB	8	fixed
10	de	ADP	11	case
11	1857	NUM	8	obl:arg
12	,	PUNCT	1	punct
13	il	PRON	14	nsubj
14	eut	VERB	0	root
15	Clément	PROPN	14	obj
16	Loret	PROPN	15	flat:name
17	et	CCONJ	18	cc
18	Camille	PROPN	15	conj
19	Saint-Saëns	PROPN	18	flat:name
20	comme	ADP	21	case
21	professeurs	NOUN	14	obl:mod
22	.	PUNCT	14	punct