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:
Il trouva les étés à Sydney trop lourds et loua une maison de campagne à Throsby Park, près de Moss Vale.
Postion	Tokenization
1	Il
2	trouva
3	les
4	étés
5	à
6	Sydney
7	trop
8	lourds
9	et
10	loua
11	une
12	maison
13	de
14	campagne
15	à
16	Throsby
17	Park
18	,
19	près
20	de
21	Moss
22	Vale
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	trouva	VERB	0	root
3	les	DET	4	det
4	étés	NOUN	2	obj
5	à	ADP	6	case
6	Sydney	PROPN	4	nmod
7	trop	ADV	8	advmod
8	lourds	ADJ	2	xcomp:pred
9	et	CCONJ	10	cc
10	loua	VERB	2	conj
11	une	DET	12	det
12	maison	NOUN	10	obj
13	de	ADP	14	case
14	campagne	NOUN	12	nmod
15	à	ADP	16	case
16	Throsby	PROPN	12	nmod
17	Park	PROPN	16	flat:name
18	,	PUNCT	19	punct
19	près	ADV	12	advmod
20	de	ADP	21	case
21	Moss	PROPN	19	obl:arg
22	Vale	PROPN	21	flat:name
23	.	PUNCT	2	punct