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:
Elle veut trouver "les autres" et suit les actions de John, sur Internet, depuis ce qui s'est passé dans l'Ohio.
Postion	Tokenization
1	Elle
2	veut
3	trouver
4	"
5	les
6	autres
7	"
8	et
9	suit
10	les
11	actions
12	de
13	John
14	,
15	sur
16	Internet
17	,
18	depuis
19	ce
20	qui
21	s'
22	est
23	passé
24	dans
25	l'
26	Ohio
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	2	nsubj
2	veut	VERB	0	root
3	trouver	VERB	2	xcomp:obj
4	"	PUNCT	6	punct
5	les	DET	6	det
6	autres	PRON	3	obj
7	"	PUNCT	6	punct
8	et	CCONJ	9	cc
9	suit	VERB	2	conj
10	les	DET	11	det
11	actions	NOUN	9	obj
12	de	ADP	13	case
13	John	PROPN	11	nmod
14	,	PUNCT	16	punct
15	sur	ADP	16	case
16	Internet	PROPN	9	obl:mod
17	,	PUNCT	19	punct
18	depuis	ADP	19	case
19	ce	PRON	9	obl:mod
20	qui	PRON	23	nsubj
21	s'	PRON	23	dep:comp
22	est	AUX	23	aux:tense
23	passé	VERB	19	acl:relcl
24	dans	ADP	26	case
25	l'	DET	26	det
26	Ohio	PROPN	23	obl:mod
27	.	PUNCT	2	punct