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:
La Banque populaire de Chine doit encore déployer beaucoup d'efforts pour calmer l'économie, car la masse monétaire et l'octroi de nouveaux prêts bancaires continuent de fortement augmenter. "
Postion	Tokenization
1	La
2	Banque
3	populaire
4	de
5	Chine
6	doit
7	encore
8	déployer
9	beaucoup
10	d'
11	efforts
12	pour
13	calmer
14	l'
15	économie
16	,
17	car
18	la
19	masse
20	monétaire
21	et
22	l'
23	octroi
24	de
25	nouveaux
26	prêts
27	bancaires
28	continuent
29	de
30	fortement
31	augmenter
32	.
33	"
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Banque	NOUN	6	nsubj
3	populaire	ADJ	2	amod
4	de	ADP	5	case
5	Chine	PROPN	2	nmod
6	doit	VERB	0	root
7	encore	ADV	6	advmod
8	déployer	VERB	6	xcomp:obj
9	beaucoup	ADV	8	obj
10	d'	ADP	11	case
11	efforts	NOUN	9	dep:comp
12	pour	ADP	13	mark
13	calmer	VERB	8	advcl
14	l'	DET	15	det
15	économie	NOUN	13	obj
16	,	PUNCT	28	punct
17	car	CCONJ	28	cc
18	la	DET	19	det
19	masse	NOUN	28	nsubj
20	monétaire	ADJ	19	amod
21	et	CCONJ	23	cc
22	l'	DET	23	det
23	octroi	NOUN	19	conj
24	de	ADP	26	case
25	nouveaux	ADJ	26	amod
26	prêts	NOUN	23	nmod
27	bancaires	ADJ	26	amod
28	continuent	VERB	6	conj
29	de	ADP	31	mark
30	fortement	ADV	31	advmod
31	augmenter	VERB	28	xcomp:obj
32	.	PUNCT	6	punct
33	"	PUNCT	6	punct