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, la contre attaque a été massive et a touché pas moins de 174 sites appartenant pour la plupart au gouvernement et à des entreprises du royaume marocain.
Postion	Tokenization
1	En
2	effet
3	,
4	la
5	contre
6	attaque
7	a
8	été
9	massive
10	et
11	a
12	touché
13	pas
14	moins
15	de
16	174
17	sites
18	appartenant
19	pour
20	la
21	plupart
22	au
23	à
24	le
25	gouvernement
26	et
27	à
28	des
29	entreprises
30	du
31	de
32	le
33	royaume
34	marocain
35	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	9	advmod
2	effet	NOUN	1	fixed
3	,	PUNCT	1	punct
4	la	DET	5	det
5	contre	ADP	9	nsubj
6	attaque	NOUN	5	goeswith
7	a	AUX	9	aux:tense
8	été	AUX	9	cop
9	massive	ADJ	0	root
10	et	CCONJ	12	cc
11	a	AUX	12	aux:tense
12	touché	VERB	9	conj
13	pas	ADV	14	advmod
14	moins	ADV	12	obj
15	de	ADP	17	case
16	174	NUM	17	nummod
17	sites	NOUN	14	dep:comp
18	appartenant	VERB	17	acl
19	pour	ADP	21	case
20	la	DET	21	det
21	plupart	NOUN	18	obl:mod
22	au	_	None	_
23	à	ADP	24	case
24	le	DET	24	det
25	gouvernement	NOUN	18	obl:arg
26	et	CCONJ	28	cc
27	à	ADP	28	case
28	des	DET	28	det
29	entreprises	NOUN	24	conj
30	du	_	None	_
31	de	ADP	31	case
32	le	DET	31	det
33	royaume	NOUN	28	nmod
34	marocain	ADJ	31	amod
35	.	PUNCT	9	punct