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:
Doce minutos más tarde, los servicios de policía de North Yorshire recibieron la llamada del conductor de un Land Rover, que transportaba otro coche sobre un remolque enganchado al todoterreno.
Postion	Tokenization
1	Doce
2	minutos
3	más
4	tarde
5	,
6	los
7	servicios
8	de
9	policía
10	de
11	North
12	Yorshire
13	recibieron
14	la
15	llamada
16	del
17	conductor
18	de
19	un
20	Land
21	Rover
22	,
23	que
24	transportaba
25	otro
26	coche
27	sobre
28	un
29	remolque
30	enganchado
31	al
32	todoterreno
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Doce	NUM	2	nummod
2	minutos	NOUN	4	obl
3	más	ADV	4	advmod
4	tarde	ADV	13	advmod
5	,	PUNCT	4	punct
6	los	DET	7	det
7	servicios	NOUN	13	nsubj
8	de	ADP	9	case
9	policía	NOUN	7	nmod
10	de	ADP	11	case
11	North	PROPN	7	nmod
12	Yorshire	PROPN	11	flat
13	recibieron	VERB	0	root
14	la	DET	15	det
15	llamada	NOUN	13	obj
16	del	ADP	17	case
17	conductor	NOUN	15	nmod
18	de	ADP	20	case
19	un	DET	20	det
20	Land	PROPN	17	nmod
21	Rover	PROPN	20	flat
22	,	PUNCT	24	punct
23	que	PRON	24	nsubj
24	transportaba	VERB	17	acl
25	otro	DET	26	det
26	coche	NOUN	24	obj
27	sobre	ADP	29	case
28	un	DET	29	det
29	remolque	NOUN	24	obl
30	enganchado	ADJ	29	amod
31	al	ADP	32	case
32	todoterreno	NOUN	30	obl
33	.	PUNCT	13	punct