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:
Mais la belle Tamara doit assister à un concert rock pour écrire un article dans son journal et voilà qu'une relation se noue entre elle et Ben Sergeant le beau batteur du groupe.
Postion	Tokenization
1	Mais
2	la
3	belle
4	Tamara
5	doit
6	assister
7	à
8	un
9	concert
10	rock
11	pour
12	écrire
13	un
14	article
15	dans
16	son
17	journal
18	et
19	voilà
20	qu'
21	une
22	relation
23	se
24	noue
25	entre
26	elle
27	et
28	Ben
29	Sergeant
30	le
31	beau
32	batteur
33	du
34	de
35	le
36	groupe
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Mais	CCONJ	5	cc
2	la	DET	4	det
3	belle	ADJ	4	amod
4	Tamara	PROPN	5	nsubj
5	doit	VERB	0	root
6	assister	VERB	5	xcomp:obj
7	à	ADP	9	case
8	un	DET	9	det
9	concert	NOUN	6	obl:mod
10	rock	NOUN	9	nmod
11	pour	ADP	12	mark
12	écrire	VERB	6	advcl
13	un	DET	14	det
14	article	NOUN	12	obj
15	dans	ADP	17	case
16	son	DET	17	det
17	journal	NOUN	12	obl:mod
18	et	CCONJ	19	cc
19	voilà	VERB	6	conj
20	qu'	SCONJ	24	mark
21	une	DET	22	det
22	relation	NOUN	24	nsubj:pass
23	se	PRON	24	expl:pass
24	noue	VERB	19	ccomp:obj
25	entre	ADP	26	case
26	elle	PRON	24	obl:mod
27	et	CCONJ	28	cc
28	Ben	PROPN	26	conj
29	Sergeant	PROPN	28	flat:name
30	le	DET	32	det
31	beau	ADJ	32	amod
32	batteur	NOUN	28	appos
33	du	_	None	_
34	de	ADP	35	case
35	le	DET	35	det
36	groupe	NOUN	32	nmod
37	.	PUNCT	5	punct