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:
Si les effets contre lesquels nous nous battons sont multiples, ils ont une cause unique : un capitalisme de plus en plus prédateur et destructeur.
Postion	Tokenization
1	Si
2	les
3	effets
4	contre
5	lesquels
6	nous
7	nous
8	battons
9	sont
10	multiples
11	,
12	ils
13	ont
14	une
15	cause
16	unique
17	:
18	un
19	capitalisme
20	de
21	plus
22	en
23	plus
24	prédateur
25	et
26	destructeur
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	10	mark
2	les	DET	3	det
3	effets	NOUN	10	nsubj
4	contre	ADP	5	case
5	lesquels	PRON	8	obl:mod
6	nous	PRON	8	nsubj
7	nous	PRON	8	obj
8	battons	VERB	3	acl:relcl
9	sont	AUX	10	cop
10	multiples	ADJ	13	advcl
11	,	PUNCT	10	punct
12	ils	PRON	13	nsubj
13	ont	VERB	0	root
14	une	DET	15	det
15	cause	NOUN	13	obj
16	unique	ADJ	15	amod
17	:	PUNCT	19	punct
18	un	DET	19	det
19	capitalisme	NOUN	15	appos
20	de	ADP	24	advmod
21	plus	ADV	20	fixed
22	en	ADP	20	fixed
23	plus	ADV	20	fixed
24	prédateur	ADJ	19	amod
25	et	CCONJ	26	cc
26	destructeur	NOUN	24	conj
27	.	PUNCT	13	punct