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:
Pourtant la grande affection qui lie les membres de la famille leur permet de faire face à d'autres problèmes : arrivée d'autres jumeaux, mise à la retraite de « papa » qui se fait escroquer par un agent immobilier, difficulté de se faire une clientèle pour Robert, jeune avocat...
Postion	Tokenization
1	Pourtant
2	la
3	grande
4	affection
5	qui
6	lie
7	les
8	membres
9	de
10	la
11	famille
12	leur
13	permet
14	de
15	faire
16	face
17	à
18	d'
19	autres
20	problèmes
21	:
22	arrivée
23	d'
24	autres
25	jumeaux
26	,
27	mise
28	à
29	la
30	retraite
31	de
32	«
33	papa
34	»
35	qui
36	se
37	fait
38	escroquer
39	par
40	un
41	agent
42	immobilier
43	,
44	difficulté
45	de
46	se
47	faire
48	une
49	clientèle
50	pour
51	Robert
52	,
53	jeune
54	avocat
55	...
Position	Tokenization	UPOS	Head	Deprel
1	Pourtant	ADV	13	advmod
2	la	DET	4	det
3	grande	ADJ	4	amod
4	affection	NOUN	13	nsubj
5	qui	PRON	6	nsubj
6	lie	VERB	4	acl:relcl
7	les	DET	8	det
8	membres	NOUN	6	obj
9	de	ADP	11	case
10	la	DET	11	det
11	famille	NOUN	8	nmod
12	leur	PRON	13	obl:arg
13	permet	VERB	0	root
14	de	ADP	15	mark
15	faire	VERB	13	xcomp:obj
16	face	NOUN	15	obj:lvc
17	à	ADP	20	case
18	d'	DET	20	det
19	autres	ADJ	20	amod
20	problèmes	NOUN	16	dep:comp
21	:	PUNCT	22	punct
22	arrivée	NOUN	20	appos
23	d'	ADP	25	case
24	autres	ADJ	25	amod
25	jumeaux	NOUN	22	nmod
26	,	PUNCT	27	punct
27	mise	NOUN	22	conj
28	à	ADP	30	case
29	la	DET	30	det
30	retraite	NOUN	27	nmod
31	de	ADP	33	case
32	«	PUNCT	33	punct
33	papa	NOUN	30	nmod
34	»	PUNCT	33	punct
35	qui	PRON	38	nsubj:caus
36	se	PRON	38	obj
37	fait	AUX	38	aux:caus
38	escroquer	VERB	33	acl:relcl
39	par	ADP	41	case
40	un	DET	41	det
41	agent	NOUN	38	obl:agent
42	immobilier	ADJ	41	amod
43	,	PUNCT	44	punct
44	difficulté	NOUN	22	conj
45	de	ADP	47	mark
46	se	PRON	47	obl:arg
47	faire	VERB	44	acl
48	une	DET	49	det
49	clientèle	NOUN	47	obj
50	pour	ADP	51	case
51	Robert	PROPN	47	obl:mod
52	,	PUNCT	54	punct
53	jeune	ADJ	54	amod
54	avocat	NOUN	51	appos
55	...	PUNCT	13	punct