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:
Herriot a recours à de nombreuses avances auprès de la Banque de France, qui est encore entre les mains d'intérêts privés (les « 200 familles »).
Postion	Tokenization
1	Herriot
2	a
3	recours
4	à
5	de
6	nombreuses
7	avances
8	auprès
9	de
10	la
11	Banque
12	de
13	France
14	,
15	qui
16	est
17	encore
18	entre
19	les
20	mains
21	d'
22	intérêts
23	privés
24	(
25	les
26	«
27	200
28	familles
29	»
30	)
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Herriot	PROPN	2	nsubj
2	a	VERB	0	root
3	recours	NOUN	2	obj:lvc
4	à	ADP	7	case
5	de	DET	7	det
6	nombreuses	ADJ	7	amod
7	avances	NOUN	3	dep:comp
8	auprès	ADV	7	advmod
9	de	ADP	11	case
10	la	DET	11	det
11	Banque	NOUN	8	obl:arg
12	de	ADP	13	case
13	France	PROPN	11	nmod
14	,	PUNCT	16	punct
15	qui	PRON	16	nsubj
16	est	VERB	11	acl:relcl
17	encore	ADV	16	advmod
18	entre	ADP	20	case
19	les	DET	20	det
20	mains	NOUN	16	obl:mod
21	d'	ADP	22	case
22	intérêts	NOUN	20	nmod
23	privés	ADJ	22	amod
24	(	PUNCT	28	punct
25	les	DET	28	det
26	«	PUNCT	28	punct
27	200	NUM	28	nummod
28	familles	NOUN	22	appos
29	»	PUNCT	28	punct
30	)	PUNCT	28	punct
31	.	PUNCT	2	punct