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:
Había de transcurrir siglo y medio antes de que resurgiese la idea original de Huygens de un motor de explosión, y la demora se debió seguramente, en parte, al éxito de las máquinas de vapor que ya arrastraban trenes y barcos con eficiencia.
Postion	Tokenization
1	Había
2	de
3	transcurrir
4	siglo
5	y
6	medio
7	antes
8	de
9	que
10	resurgiese
11	la
12	idea
13	original
14	de
15	Huygens
16	de
17	un
18	motor
19	de
20	explosión
21	,
22	y
23	la
24	demora
25	se
26	debió
27	seguramente
28	,
29	en
30	parte
31	,
32	al
33	éxito
34	de
35	las
36	máquinas
37	de
38	vapor
39	que
40	ya
41	arrastraban
42	trenes
43	y
44	barcos
45	con
46	eficiencia
47	.
Position	Tokenization	UPOS	Head	Deprel
1	Había	AUX	3	aux
2	de	ADP	3	mark
3	transcurrir	VERB	0	root
4	siglo	NOUN	3	nsubj
5	y	CCONJ	6	cc
6	medio	NUM	4	conj
7	antes	ADV	3	advmod
8	de	ADP	10	mark
9	que	SCONJ	10	mark
10	resurgiese	VERB	7	advcl
11	la	DET	12	det
12	idea	NOUN	10	nsubj
13	original	ADJ	12	amod
14	de	ADP	15	case
15	Huygens	PROPN	12	nmod
16	de	ADP	18	case
17	un	DET	18	det
18	motor	NOUN	12	nmod
19	de	ADP	20	case
20	explosión	NOUN	18	nmod
21	,	PUNCT	26	punct
22	y	CCONJ	26	cc
23	la	DET	24	det
24	demora	NOUN	26	nsubj
25	se	PRON	26	expl:pv
26	debió	VERB	3	conj
27	seguramente	ADV	26	advmod
28	,	PUNCT	29	punct
29	en	ADP	26	advmod
30	parte	NOUN	29	fixed
31	,	PUNCT	29	punct
32	al	ADP	33	case
33	éxito	NOUN	26	obj
34	de	ADP	36	case
35	las	DET	36	det
36	máquinas	NOUN	33	nmod
37	de	ADP	38	case
38	vapor	NOUN	36	nmod
39	que	PRON	41	nsubj
40	ya	ADV	41	advmod
41	arrastraban	VERB	36	acl
42	trenes	NOUN	41	obj
43	y	CCONJ	44	cc
44	barcos	NOUN	42	conj
45	con	ADP	46	case
46	eficiencia	NOUN	41	obl
47	.	PUNCT	3	punct