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 reçoit du côté droit d'importants affluents venus des Andes, dont le Río Quilquihue émissaire du lac Lolog.
Postion	Tokenization
1	Il
2	reçoit
3	du
4	de
5	le
6	côté
7	droit
8	d'
9	importants
10	affluents
11	venus
12	des
13	de
14	les
15	Andes
16	,
17	dont
18	le
19	Río
20	Quilquihue
21	émissaire
22	du
23	de
24	le
25	lac
26	Lolog
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	reçoit	VERB	0	root
3	du	_	None	_
4	de	ADP	5	case
5	le	DET	5	det
6	côté	NOUN	2	obl:arg
7	droit	ADJ	5	amod
8	d'	DET	9	det
9	importants	ADJ	9	amod
10	affluents	NOUN	2	obj
11	venus	VERB	9	acl
12	des	_	None	_
13	de	ADP	13	case
14	les	DET	13	det
15	Andes	PROPN	10	obl:arg
16	,	PUNCT	17	punct
17	dont	PRON	17	nmod
18	le	DET	17	det
19	Río	PROPN	9	acl:relcl
20	Quilquihue	PROPN	17	flat:name
21	émissaire	NOUN	17	nmod
22	du	_	None	_
23	de	ADP	22	case
24	le	DET	22	det
25	lac	NOUN	19	nmod
26	Lolog	PROPN	22	appos
27	.	PUNCT	2	punct