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:
Pour cette aînée d'une famille de sept enfants, il était important d'avoir un diplôme pour assurer son avenir et obtenir un emploi stable.
Postion	Tokenization
1	Pour
2	cette
3	aînée
4	d'
5	une
6	famille
7	de
8	sept
9	enfants
10	,
11	il
12	était
13	important
14	d'
15	avoir
16	un
17	diplôme
18	pour
19	assurer
20	son
21	avenir
22	et
23	obtenir
24	un
25	emploi
26	stable
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Pour	ADP	3	case
2	cette	DET	3	det
3	aînée	NOUN	13	obl:mod
4	d'	ADP	6	case
5	une	DET	6	det
6	famille	NOUN	3	nmod
7	de	ADP	9	case
8	sept	NUM	9	nummod
9	enfants	NOUN	6	nmod
10	,	PUNCT	3	punct
11	il	PRON	13	expl:subj
12	était	AUX	13	cop
13	important	ADJ	0	root
14	d'	ADP	15	mark
15	avoir	VERB	13	csubj
16	un	DET	17	det
17	diplôme	NOUN	15	obj
18	pour	ADP	19	mark
19	assurer	VERB	15	advcl
20	son	DET	21	det
21	avenir	NOUN	19	obj
22	et	CCONJ	23	cc
23	obtenir	VERB	19	conj
24	un	DET	25	det
25	emploi	NOUN	23	obj
26	stable	ADJ	25	amod
27	.	PUNCT	13	punct