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 se produjo después de que el conductor se decidiera a cruzar la vía del tren pese a la intensa niebla que cubría la zona.
Postion	Tokenization
1	El
2	accidente
3	se
4	produjo
5	después
6	de
7	que
8	el
9	conductor
10	se
11	decidiera
12	a
13	cruzar
14	la
15	vía
16	del
17	tren
18	pese
19	a
20	la
21	intensa
22	niebla
23	que
24	cubría
25	la
26	zona
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	accidente	NOUN	4	nsubj
3	se	PRON	4	expl:pv
4	produjo	VERB	0	root
5	después	ADV	4	advmod
6	de	ADP	11	mark
7	que	SCONJ	11	mark
8	el	DET	9	det
9	conductor	NOUN	11	nsubj
10	se	PRON	11	expl:pv
11	decidiera	VERB	5	advcl
12	a	ADP	13	mark
13	cruzar	VERB	11	xcomp
14	la	DET	15	det
15	vía	NOUN	13	obj
16	del	ADP	17	case
17	tren	NOUN	15	nmod
18	pese	NOUN	22	case
19	a	ADP	18	fixed
20	la	DET	22	det
21	intensa	ADJ	22	amod
22	niebla	NOUN	13	obl
23	que	PRON	24	nsubj
24	cubría	VERB	22	acl
25	la	DET	26	det
26	zona	NOUN	24	obj
27	.	PUNCT	4	punct