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 siniestro, que se produjo a las 2.30 horas del Lunes, tuvo lugar en el kilómetro 217 de la autovía de Andalucía, a la altura de Santa Cruz de Mudela (Ciudad Real).
Postion	Tokenization
1	El
2	siniestro
3	,
4	que
5	se
6	produjo
7	a
8	las
9	2.30
10	horas
11	del
12	Lunes
13	,
14	tuvo
15	lugar
16	en
17	el
18	kilómetro
19	217
20	de
21	la
22	autovía
23	de
24	Andalucía
25	,
26	a
27	la
28	altura
29	de
30	Santa
31	Cruz
32	de
33	Mudela
34	(
35	Ciudad
36	Real
37	)
38	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	siniestro	NOUN	14	nsubj
3	,	PUNCT	6	punct
4	que	PRON	6	nsubj
5	se	PRON	6	expl:pv
6	produjo	VERB	2	acl
7	a	ADP	9	case
8	las	DET	9	det
9	2.30	NUM	6	obl
10	horas	NOUN	9	compound
11	del	ADP	12	case
12	Lunes	NOUN	9	nmod
13	,	PUNCT	6	punct
14	tuvo	VERB	0	root
15	lugar	NOUN	14	compound
16	en	ADP	18	case
17	el	DET	18	det
18	kilómetro	NOUN	14	obl
19	217	NUM	18	appos
20	de	ADP	22	case
21	la	DET	22	det
22	autovía	NOUN	18	nmod
23	de	ADP	24	case
24	Andalucía	PROPN	22	nmod
25	,	PUNCT	28	punct
26	a	ADP	28	case
27	la	DET	28	det
28	altura	NOUN	18	nmod
29	de	ADP	30	case
30	Santa	PROPN	28	nmod
31	Cruz	PROPN	30	flat
32	de	ADP	33	case
33	Mudela	PROPN	30	flat
34	(	PUNCT	35	punct
35	Ciudad	PROPN	30	flat
36	Real	PROPN	35	flat
37	)	PUNCT	35	punct
38	.	PUNCT	14	punct