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 1929 il obtint son doctorat d'université avec un mémoire sur la mécanique des noyaux radio actifs puis en novembre 1932, son doctorat d'État (Libera Docenza) en physique théorique.
Postion	Tokenization
1	En
2	1929
3	il
4	obtint
5	son
6	doctorat
7	d'
8	université
9	avec
10	un
11	mémoire
12	sur
13	la
14	mécanique
15	des
16	de
17	les
18	noyaux
19	radio
20	actifs
21	puis
22	en
23	novembre
24	1932
25	,
26	son
27	doctorat
28	d'
29	État
30	(
31	Libera
32	Docenza
33	)
34	en
35	physique
36	théorique
37	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	1929	NUM	4	obl:mod
3	il	PRON	4	nsubj
4	obtint	VERB	0	root
5	son	DET	6	det
6	doctorat	NOUN	4	obj
7	d'	ADP	8	case
8	université	NOUN	6	nmod
9	avec	ADP	11	case
10	un	DET	11	det
11	mémoire	NOUN	4	obl:mod
12	sur	ADP	14	case
13	la	DET	14	det
14	mécanique	NOUN	11	nmod
15	des	_	None	_
16	de	ADP	17	case
17	les	DET	17	det
18	noyaux	NOUN	14	nmod
19	radio	X	17	amod
20	actifs	ADJ	18	goeswith
21	puis	ADV	26	cc
22	en	ADP	22	case
23	novembre	NOUN	26	nmod
24	1932	NUM	22	nmod
25	,	PUNCT	22	punct
26	son	DET	26	det
27	doctorat	NOUN	4	conj
28	d'	ADP	28	case
29	État	PROPN	26	nmod
30	(	PUNCT	30	punct
31	Libera	PROPN	28	appos
32	Docenza	PROPN	30	flat:name
33	)	PUNCT	30	punct
34	en	ADP	34	case
35	physique	NOUN	26	nmod
36	théorique	ADJ	34	amod
37	.	PUNCT	4	punct