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:
La compañía hizo uso del recurso de apelación, tras lo cual la multa fue confirmada y reducida a 1.365 millones de pesos, explicó el funcionario.
Postion	Tokenization
1	La
2	compañía
3	hizo
4	uso
5	del
6	recurso
7	de
8	apelación
9	,
10	tras
11	lo
12	cual
13	la
14	multa
15	fue
16	confirmada
17	y
18	reducida
19	a
20	1.365
21	millones
22	de
23	pesos
24	,
25	explicó
26	el
27	funcionario
28	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	compañía	NOUN	3	nsubj
3	hizo	VERB	25	ccomp
4	uso	NOUN	3	obj
5	del	ADP	6	case
6	recurso	NOUN	3	obj
7	de	ADP	8	case
8	apelación	NOUN	6	nmod
9	,	PUNCT	16	punct
10	tras	ADP	12	case
11	lo	PRON	12	det
12	cual	PRON	16	obl
13	la	DET	14	det
14	multa	NOUN	16	nsubj
15	fue	AUX	16	aux
16	confirmada	VERB	3	advcl
17	y	CCONJ	18	cc
18	reducida	VERB	16	conj
19	a	ADP	21	case
20	1.365	NUM	21	nummod
21	millones	NOUN	18	obj
22	de	ADP	23	case
23	pesos	NOUN	21	nmod
24	,	PUNCT	16	punct
25	explicó	VERB	0	root
26	el	DET	27	det
27	funcionario	NOUN	25	nsubj
28	.	PUNCT	25	punct