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 último accidente del suburbano madrileño se remonta a agosto de 1997, cuando nueve personas resultaron levemente heridas al invertir una escalera mecánica el sentido de su marcha.
Postion	Tokenization
1	El
2	último
3	accidente
4	del
5	suburbano
6	madrileño
7	se
8	remonta
9	a
10	agosto
11	de
12	1997
13	,
14	cuando
15	nueve
16	personas
17	resultaron
18	levemente
19	heridas
20	al
21	invertir
22	una
23	escalera
24	mecánica
25	el
26	sentido
27	de
28	su
29	marcha
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	último	ADJ	3	amod
3	accidente	NOUN	8	nsubj
4	del	ADP	5	case
5	suburbano	NOUN	3	nmod
6	madrileño	ADJ	5	amod
7	se	PRON	8	expl:pv
8	remonta	VERB	0	root
9	a	ADP	10	case
10	agosto	NOUN	8	obj
11	de	ADP	12	case
12	1997	NUM	10	compound
13	,	PUNCT	17	punct
14	cuando	PRON	17	obl
15	nueve	NUM	16	nummod
16	personas	NOUN	17	nsubj
17	resultaron	VERB	10	acl
18	levemente	ADV	19	advmod
19	heridas	ADJ	17	obj
20	al	ADP	21	mark
21	invertir	VERB	17	advcl
22	una	DET	23	det
23	escalera	NOUN	21	nsubj
24	mecánica	ADJ	23	amod
25	el	DET	26	det
26	sentido	NOUN	21	obj
27	de	ADP	29	case
28	su	DET	29	det
29	marcha	NOUN	26	nmod
30	.	PUNCT	8	punct