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 troisième de la Nationale derrière Kemp et Braun pour le total de buts (322) et mène tout le baseball majeur avec 32 buts-sur-balles intentionnels reçus des lanceurs adverses.
Postion	Tokenization
1	Il
2	est
3	troisième
4	de
5	la
6	Nationale
7	derrière
8	Kemp
9	et
10	Braun
11	pour
12	le
13	total
14	de
15	buts
16	(
17	322
18	)
19	et
20	mène
21	tout
22	le
23	baseball
24	majeur
25	avec
26	32
27	buts-sur-balles
28	intentionnels
29	reçus
30	des
31	de
32	les
33	lanceurs
34	adverses
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	nsubj
2	est	AUX	3	cop
3	troisième	ADJ	0	root
4	de	ADP	6	case
5	la	DET	6	det
6	Nationale	PROPN	3	obl:mod
7	derrière	ADP	8	case
8	Kemp	PROPN	3	obl:mod
9	et	CCONJ	10	cc
10	Braun	PROPN	8	conj
11	pour	ADP	13	case
12	le	DET	13	det
13	total	NOUN	3	obl:mod
14	de	ADP	15	case
15	buts	NOUN	13	nmod
16	(	PUNCT	17	punct
17	322	NUM	13	nmod
18	)	PUNCT	17	punct
19	et	CCONJ	20	cc
20	mène	VERB	3	conj
21	tout	ADJ	23	amod
22	le	DET	23	det
23	baseball	NOUN	20	obj
24	majeur	ADJ	23	amod
25	avec	ADP	27	case
26	32	NUM	27	nummod
27	buts-sur-balles	NOUN	20	obl:mod
28	intentionnels	ADJ	27	amod
29	reçus	VERB	27	acl
30	des	_	None	_
31	de	ADP	32	case
32	les	DET	32	det
33	lanceurs	NOUN	29	obl:arg
34	adverses	ADJ	32	amod
35	.	PUNCT	3	punct