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:
"Tenemos inspectores suficientes, y cuando nos quedamos cortos, contamos con los de otros distritos o del cuerpo de bomberos, que también están acreditados", responde.
Postion	Tokenization
1	"
2	Tenemos
3	inspectores
4	suficientes
5	,
6	y
7	cuando
8	nos
9	quedamos
10	cortos
11	,
12	contamos
13	con
14	los
15	de
16	otros
17	distritos
18	o
19	del
20	cuerpo
21	de
22	bomberos
23	,
24	que
25	también
26	están
27	acreditados
28	"
29	,
30	responde
31	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Tenemos	VERB	30	ccomp
3	inspectores	NOUN	2	obj
4	suficientes	ADJ	3	amod
5	,	PUNCT	12	punct
6	y	CCONJ	12	cc
7	cuando	SCONJ	9	mark
8	nos	PRON	9	expl:pv
9	quedamos	VERB	12	advcl
10	cortos	ADJ	9	obj
11	,	PUNCT	9	punct
12	contamos	VERB	2	conj
13	con	ADP	27	case
14	los	DET	27	det
15	de	ADP	17	case
16	otros	DET	17	det
17	distritos	NOUN	27	obj
18	o	CCONJ	20	cc
19	del	ADP	20	case
20	cuerpo	NOUN	17	conj
21	de	ADP	22	case
22	bomberos	NOUN	20	nmod
23	,	PUNCT	27	punct
24	que	PRON	27	nsubj
25	también	ADV	27	advmod
26	están	AUX	27	cop
27	acreditados	ADJ	12	ccomp
28	"	PUNCT	2	punct
29	,	PUNCT	2	punct
30	responde	VERB	0	root
31	.	PUNCT	30	punct