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:
Il est également un théoricien reconnu dans les ouvertures, et a assisté Boris Spassky dans le Championnat du monde 1972 contre Bobby Fischer, puis assisté ensuite Anatoli Karpov.
Postion	Tokenization
1	Il
2	est
3	également
4	un
5	théoricien
6	reconnu
7	dans
8	les
9	ouvertures
10	,
11	et
12	a
13	assisté
14	Boris
15	Spassky
16	dans
17	le
18	Championnat
19	du
20	de
21	le
22	monde
23	1972
24	contre
25	Bobby
26	Fischer
27	,
28	puis
29	assisté
30	ensuite
31	Anatoli
32	Karpov
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	5	nsubj
2	est	AUX	5	cop
3	également	ADV	5	advmod
4	un	DET	5	det
5	théoricien	NOUN	0	root
6	reconnu	VERB	5	acl
7	dans	ADP	9	case
8	les	DET	9	det
9	ouvertures	NOUN	6	obl:arg
10	,	PUNCT	13	punct
11	et	CCONJ	13	cc
12	a	AUX	13	aux:tense
13	assisté	VERB	5	conj
14	Boris	PROPN	13	obj
15	Spassky	PROPN	14	flat:name
16	dans	ADP	18	case
17	le	DET	18	det
18	Championnat	NOUN	13	obl:mod
19	du	_	None	_
20	de	ADP	21	case
21	le	DET	21	det
22	monde	NOUN	18	nmod
23	1972	NUM	21	nmod
24	contre	ADP	24	case
25	Bobby	PROPN	13	obl:mod
26	Fischer	PROPN	24	flat:name
27	,	PUNCT	28	punct
28	puis	ADV	28	cc
29	assisté	VERB	13	conj
30	ensuite	ADV	28	advmod
31	Anatoli	PROPN	28	obj
32	Karpov	PROPN	30	flat:name
33	.	PUNCT	5	punct