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:
En effet, l'Espagne poursuivait une politique d'immigration pour la Louisiane, dans le but entre autres de parer à une invasion anglaise, en plus évidemment de favoriser la croissance économique.
Postion	Tokenization
1	En
2	effet
3	,
4	l'
5	Espagne
6	poursuivait
7	une
8	politique
9	d'
10	immigration
11	pour
12	la
13	Louisiane
14	,
15	dans
16	le
17	but
18	entre
19	autres
20	de
21	parer
22	à
23	une
24	invasion
25	anglaise
26	,
27	en
28	plus
29	évidemment
30	de
31	favoriser
32	la
33	croissance
34	économique
35	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	6	advmod
2	effet	NOUN	1	fixed
3	,	PUNCT	1	punct
4	l'	DET	5	det
5	Espagne	PROPN	6	nsubj
6	poursuivait	VERB	0	root
7	une	DET	8	det
8	politique	NOUN	6	obj
9	d'	ADP	10	case
10	immigration	NOUN	8	nmod
11	pour	ADP	13	case
12	la	DET	13	det
13	Louisiane	PROPN	6	obl:mod
14	,	PUNCT	17	punct
15	dans	ADP	17	case
16	le	DET	17	det
17	but	NOUN	6	obl:mod
18	entre	ADP	19	case
19	autres	PRON	17	nmod
20	de	ADP	21	mark
21	parer	VERB	17	acl
22	à	ADP	24	case
23	une	DET	24	det
24	invasion	NOUN	21	obl:arg
25	anglaise	ADJ	24	amod
26	,	PUNCT	27	punct
27	en	ADP	21	advmod
28	plus	ADV	27	fixed
29	évidemment	ADV	31	advmod
30	de	ADP	31	mark
31	favoriser	VERB	21	conj
32	la	DET	33	det
33	croissance	NOUN	31	obj
34	économique	ADJ	33	amod
35	.	PUNCT	6	punct