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 automovilista chocó con el bordillo, se subió a la acera y, tras arrancar una papelera, atropelló a tres niños que esperaban junto al semáforo para cruzar la calle.
Postion	Tokenization
1	El
2	automovilista
3	chocó
4	con
5	el
6	bordillo
7	,
8	se
9	subió
10	a
11	la
12	acera
13	y
14	,
15	tras
16	arrancar
17	una
18	papelera
19	,
20	atropelló
21	a
22	tres
23	niños
24	que
25	esperaban
26	junto
27	al
28	semáforo
29	para
30	cruzar
31	la
32	calle
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	automovilista	NOUN	3	nsubj
3	chocó	VERB	0	root
4	con	ADP	6	case
5	el	DET	6	det
6	bordillo	NOUN	3	obl
7	,	PUNCT	9	punct
8	se	PRON	9	expl:pv
9	subió	VERB	3	advcl
10	a	ADP	12	case
11	la	DET	12	det
12	acera	NOUN	9	obl
13	y	CCONJ	20	cc
14	,	PUNCT	16	punct
15	tras	ADP	16	mark
16	arrancar	VERB	20	advcl
17	una	DET	18	det
18	papelera	NOUN	16	obj
19	,	PUNCT	16	punct
20	atropelló	VERB	3	conj
21	a	ADP	23	case
22	tres	NUM	23	nummod
23	niños	NOUN	20	obj
24	que	PRON	25	nsubj
25	esperaban	VERB	23	acl
26	junto	ADJ	28	case
27	al	ADP	26	fixed
28	semáforo	NOUN	25	obl
29	para	ADP	30	mark
30	cruzar	VERB	25	advcl
31	la	DET	32	det
32	calle	NOUN	30	obj
33	.	PUNCT	3	punct