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:
El accidente ocurrió a las 6.20 de la mañana en la localidad de Selby, en el condado de North Yorshire, al noreste de Inglaterra.
Postion	Tokenization
1	El
2	accidente
3	ocurrió
4	a
5	las
6	6.20
7	de
8	la
9	mañana
10	en
11	la
12	localidad
13	de
14	Selby
15	,
16	en
17	el
18	condado
19	de
20	North
21	Yorshire
22	,
23	al
24	noreste
25	de
26	Inglaterra
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	accidente	NOUN	3	nsubj
3	ocurrió	VERB	0	root
4	a	ADP	6	case
5	las	DET	6	det
6	6.20	NOUN	3	obl
7	de	ADP	9	case
8	la	DET	9	det
9	mañana	NOUN	6	nmod
10	en	ADP	12	case
11	la	DET	12	det
12	localidad	NOUN	3	obl
13	de	ADP	14	case
14	Selby	PROPN	12	nmod
15	,	PUNCT	18	punct
16	en	ADP	18	case
17	el	DET	18	det
18	condado	NOUN	12	nmod
19	de	ADP	20	case
20	North	PROPN	18	nmod
21	Yorshire	PROPN	20	flat
22	,	PUNCT	18	punct
23	al	ADP	24	case
24	noreste	NOUN	12	nmod
25	de	ADP	26	case
26	Inglaterra	PROPN	24	nmod
27	.	PUNCT	3	punct