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:
Ese acelerón, que sacó el vehículo de la vía y salvó la vida del conductor, fue lo que condenó a todos los campesinos puesto que el tractor arrastró al remolque donde viajaban hasta colocarlo a merced de la brutal arremetida del ferrocarril.
Postion	Tokenization
1	Ese
2	acelerón
3	,
4	que
5	sacó
6	el
7	vehículo
8	de
9	la
10	vía
11	y
12	salvó
13	la
14	vida
15	del
16	conductor
17	,
18	fue
19	lo
20	que
21	condenó
22	a
23	todos
24	los
25	campesinos
26	puesto
27	que
28	el
29	tractor
30	arrastró
31	al
32	remolque
33	donde
34	viajaban
35	hasta
36	colocarlo
37	colocar
38	lo
39	a
40	merced
41	de
42	la
43	brutal
44	arremetida
45	del
46	ferrocarril
47	.
Position	Tokenization	UPOS	Head	Deprel
1	Ese	DET	2	det
2	acelerón	NOUN	18	nsubj
3	,	PUNCT	5	punct
4	que	PRON	5	nsubj
5	sacó	VERB	2	acl
6	el	DET	7	det
7	vehículo	NOUN	5	obj
8	de	ADP	10	case
9	la	DET	10	det
10	vía	NOUN	5	obl
11	y	CCONJ	12	cc
12	salvó	VERB	5	conj
13	la	DET	14	det
14	vida	NOUN	12	obj
15	del	ADP	16	case
16	conductor	NOUN	14	nmod
17	,	PUNCT	5	punct
18	fue	AUX	0	root
19	lo	PRON	21	det
20	que	PRON	21	nsubj
21	condenó	VERB	18	ccomp
22	a	ADP	25	case
23	todos	DET	24	det
24	los	DET	25	det
25	campesinos	NOUN	21	obj
26	puesto	NOUN	30	mark
27	que	SCONJ	26	fixed
28	el	DET	29	det
29	tractor	NOUN	30	nsubj
30	arrastró	VERB	18	advcl
31	al	ADP	32	case
32	remolque	NOUN	30	obj
33	donde	PRON	34	obl
34	viajaban	VERB	32	acl
35	hasta	ADP	36	mark
36	colocarlo	_	None	_
37	colocar	VERB	30	advcl
38	lo	PRON	36	obj
39	a	ADP	43	case
40	merced	NOUN	38	fixed
41	de	ADP	38	fixed
42	la	DET	43	det
43	brutal	ADJ	43	amod
44	arremetida	NOUN	36	obl
45	del	ADP	45	case
46	ferrocarril	NOUN	43	nmod
47	.	PUNCT	18	punct