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 premier lieu, ce film est clairement une critique d'une société noyée dans un flot constant d'images, qui rend poreuse la frontière entre la réalité et l'image virtuelle.
Postion	Tokenization
1	En
2	premier
3	lieu
4	,
5	ce
6	film
7	est
8	clairement
9	une
10	critique
11	d'
12	une
13	société
14	noyée
15	dans
16	un
17	flot
18	constant
19	d'
20	images
21	,
22	qui
23	rend
24	poreuse
25	la
26	frontière
27	entre
28	la
29	réalité
30	et
31	l'
32	image
33	virtuelle
34	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	premier	ADJ	3	amod
3	lieu	NOUN	10	obl:mod
4	,	PUNCT	3	punct
5	ce	DET	6	det
6	film	NOUN	10	nsubj
7	est	AUX	10	cop
8	clairement	ADV	10	advmod
9	une	DET	10	det
10	critique	NOUN	0	root
11	d'	ADP	13	case
12	une	DET	13	det
13	société	NOUN	10	nmod
14	noyée	VERB	13	acl
15	dans	ADP	17	case
16	un	DET	17	det
17	flot	NOUN	14	obl:arg
18	constant	ADJ	17	amod
19	d'	ADP	20	case
20	images	NOUN	17	nmod
21	,	PUNCT	23	punct
22	qui	PRON	23	nsubj
23	rend	VERB	13	acl:relcl
24	poreuse	ADJ	23	xcomp:pred
25	la	DET	26	det
26	frontière	NOUN	23	obj
27	entre	ADP	29	case
28	la	DET	29	det
29	réalité	NOUN	26	nmod
30	et	CCONJ	32	cc
31	l'	DET	32	det
32	image	NOUN	29	conj
33	virtuelle	ADJ	32	amod
34	.	PUNCT	10	punct