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:
Los servicios de emergencia recibieron 81 llamadas de auxilio y los bomberos se emplearon a fondo en achicar agua y en el rescate de 10 personas que quedaron atrapadas dentro de sus vehículos a causa de la tromba.
Postion	Tokenization
1	Los
2	servicios
3	de
4	emergencia
5	recibieron
6	81
7	llamadas
8	de
9	auxilio
10	y
11	los
12	bomberos
13	se
14	emplearon
15	a
16	fondo
17	en
18	achicar
19	agua
20	y
21	en
22	el
23	rescate
24	de
25	10
26	personas
27	que
28	quedaron
29	atrapadas
30	dentro
31	de
32	sus
33	vehículos
34	a
35	causa
36	de
37	la
38	tromba
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	servicios	NOUN	5	nsubj
3	de	ADP	4	case
4	emergencia	NOUN	2	nmod
5	recibieron	VERB	0	root
6	81	NUM	7	nummod
7	llamadas	NOUN	5	obj
8	de	ADP	9	case
9	auxilio	NOUN	7	nmod
10	y	CCONJ	14	cc
11	los	DET	12	det
12	bomberos	NOUN	14	nsubj
13	se	PRON	14	expl:pv
14	emplearon	VERB	5	conj
15	a	ADP	14	advmod
16	fondo	NOUN	15	fixed
17	en	ADP	18	mark
18	achicar	VERB	14	advcl
19	agua	NOUN	18	obj
20	y	CCONJ	23	cc
21	en	ADP	23	case
22	el	DET	23	det
23	rescate	NOUN	18	conj
24	de	ADP	26	case
25	10	NUM	26	nummod
26	personas	NOUN	23	nmod
27	que	PRON	28	nsubj
28	quedaron	VERB	26	acl
29	atrapadas	ADJ	28	obj
30	dentro	ADV	29	advmod
31	de	ADP	33	case
32	sus	DET	33	det
33	vehículos	NOUN	30	obl
34	a	ADP	38	case
35	causa	NOUN	34	fixed
36	de	ADP	34	fixed
37	la	DET	38	det
38	tromba	NOUN	28	obl
39	.	PUNCT	5	punct