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:
Après sa thèse de doctorat sur Pomponazzi, en 1928, dirigée par Ernst Cassirer, il poursuit ses recherches sur la Renaissance, notamment sur Marsile Ficin, au sein de la Bibliothèque Aby Warburg.
Postion	Tokenization
1	Après
2	sa
3	thèse
4	de
5	doctorat
6	sur
7	Pomponazzi
8	,
9	en
10	1928
11	,
12	dirigée
13	par
14	Ernst
15	Cassirer
16	,
17	il
18	poursuit
19	ses
20	recherches
21	sur
22	la
23	Renaissance
24	,
25	notamment
26	sur
27	Marsile
28	Ficin
29	,
30	au
31	à
32	le
33	sein
34	de
35	la
36	Bibliothèque
37	Aby
38	Warburg
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	3	case
2	sa	DET	3	det
3	thèse	NOUN	18	obl:mod
4	de	ADP	5	case
5	doctorat	NOUN	3	nmod
6	sur	ADP	7	case
7	Pomponazzi	PROPN	3	nmod
8	,	PUNCT	10	punct
9	en	ADP	10	case
10	1928	NUM	3	nmod
11	,	PUNCT	10	punct
12	dirigée	VERB	3	acl
13	par	ADP	14	case
14	Ernst	PROPN	12	obl:agent
15	Cassirer	PROPN	14	flat:name
16	,	PUNCT	12	punct
17	il	PRON	18	nsubj
18	poursuit	VERB	0	root
19	ses	DET	20	det
20	recherches	NOUN	18	obj
21	sur	ADP	23	case
22	la	DET	23	det
23	Renaissance	PROPN	20	nmod
24	,	PUNCT	27	punct
25	notamment	ADV	27	advmod
26	sur	ADP	27	case
27	Marsile	PROPN	23	conj
28	Ficin	PROPN	27	flat:name
29	,	PUNCT	27	punct
30	au	_	None	_
31	à	ADP	32	case
32	le	DET	32	det
33	sein	NOUN	18	obl:mod
34	de	ADP	35	case
35	la	DET	35	det
36	Bibliothèque	NOUN	32	nmod
37	Aby	PROPN	35	appos
38	Warburg	PROPN	36	flat:name
39	.	PUNCT	18	punct