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:
En 471 et 472, Basiliscus aide Léon à se débarrasser de l'influence germanique à sa cour, fomentant avec lui le meurtre du magister militum alain Aspar.
Postion	Tokenization
1	En
2	471
3	et
4	472
5	,
6	Basiliscus
7	aide
8	Léon
9	à
10	se
11	débarrasser
12	de
13	l'
14	influence
15	germanique
16	à
17	sa
18	cour
19	,
20	fomentant
21	avec
22	lui
23	le
24	meurtre
25	du
26	de
27	le
28	magister
29	militum
30	alain
31	Aspar
32	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	471	NUM	7	obl:mod
3	et	CCONJ	4	cc
4	472	NUM	2	conj
5	,	PUNCT	2	punct
6	Basiliscus	PROPN	7	nsubj
7	aide	VERB	0	root
8	Léon	PROPN	7	obj
9	à	ADP	11	mark
10	se	PRON	11	obj
11	débarrasser	VERB	7	xcomp:obl
12	de	ADP	14	case
13	l'	DET	14	det
14	influence	NOUN	11	obl:arg
15	germanique	ADJ	14	amod
16	à	ADP	18	case
17	sa	DET	18	det
18	cour	NOUN	11	obl:mod
19	,	PUNCT	20	punct
20	fomentant	VERB	7	advcl
21	avec	ADP	22	case
22	lui	PRON	20	obl:mod
23	le	DET	24	det
24	meurtre	NOUN	20	obj
25	du	_	None	_
26	de	ADP	27	case
27	le	DET	27	det
28	magister	NOUN	24	nmod
29	militum	PROPN	27	appos
30	alain	PROPN	28	flat:name
31	Aspar	PROPN	29	flat:name
32	.	PUNCT	7	punct