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:
Si la empresa se niega, se puede optar por la vía civil, ya que la avería no es un caso de "fuerza mayor", según explicó la abogada de la asociación, Cristina Chueca.
Postion	Tokenization
1	Si
2	la
3	empresa
4	se
5	niega
6	,
7	se
8	puede
9	optar
10	por
11	la
12	vía
13	civil
14	,
15	ya
16	que
17	la
18	avería
19	no
20	es
21	un
22	caso
23	de
24	"
25	fuerza
26	mayor
27	"
28	,
29	según
30	explicó
31	la
32	abogada
33	de
34	la
35	asociación
36	,
37	Cristina
38	Chueca
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	5	mark
2	la	DET	3	det
3	empresa	NOUN	5	nsubj
4	se	PRON	5	expl:pv
5	niega	VERB	9	advcl
6	,	PUNCT	5	punct
7	se	PRON	9	expl:impers
8	puede	AUX	9	aux
9	optar	VERB	0	root
10	por	ADP	12	case
11	la	DET	12	det
12	vía	NOUN	9	obj
13	civil	ADJ	12	amod
14	,	PUNCT	22	punct
15	ya	ADV	22	mark
16	que	SCONJ	15	fixed
17	la	DET	18	det
18	avería	NOUN	22	nsubj
19	no	ADV	22	advmod
20	es	AUX	22	cop
21	un	DET	22	det
22	caso	NOUN	9	advcl
23	de	ADP	25	case
24	"	PUNCT	25	punct
25	fuerza	NOUN	22	nmod
26	mayor	ADJ	25	amod
27	"	PUNCT	25	punct
28	,	PUNCT	30	punct
29	según	SCONJ	30	mark
30	explicó	VERB	9	advcl
31	la	DET	32	det
32	abogada	NOUN	30	nsubj
33	de	ADP	35	case
34	la	DET	35	det
35	asociación	NOUN	32	nmod
36	,	PUNCT	37	punct
37	Cristina	PROPN	32	appos
38	Chueca	PROPN	37	flat
39	.	PUNCT	9	punct