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:
Le déficit commercial des Etats-Unis a diminué plus que prévu en juillet en raison d'une baisse des importations et d'une forte hausse des exportations.
Postion	Tokenization
1	Le
2	déficit
3	commercial
4	des
5	de
6	les
7	Etats-Unis
8	a
9	diminué
10	plus
11	que
12	prévu
13	en
14	juillet
15	en
16	raison
17	d'
18	une
19	baisse
20	des
21	de
22	les
23	importations
24	et
25	d'
26	une
27	forte
28	hausse
29	des
30	de
31	les
32	exportations
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	déficit	NOUN	8	nsubj
3	commercial	ADJ	2	amod
4	des	_	None	_
5	de	ADP	6	case
6	les	DET	6	det
7	Etats-Unis	PROPN	2	nmod
8	a	AUX	8	aux:tense
9	diminué	VERB	0	root
10	plus	ADV	8	advmod
11	que	SCONJ	11	mark
12	prévu	VERB	9	ccomp:obj
13	en	ADP	13	case
14	juillet	NOUN	8	obl:mod
15	en	ADP	8	advmod
16	raison	NOUN	14	fixed
17	d'	ADP	18	case
18	une	DET	18	det
19	baisse	NOUN	14	obl:arg
20	des	_	None	_
21	de	ADP	21	case
22	les	DET	21	det
23	importations	NOUN	18	nmod
24	et	CCONJ	26	cc
25	d'	ADP	26	case
26	une	DET	26	det
27	forte	ADJ	26	amod
28	hausse	NOUN	18	conj
29	des	_	None	_
30	de	ADP	29	case
31	les	DET	29	det
32	exportations	NOUN	26	nmod
33	.	PUNCT	8	punct