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:
Efectivamente, en 1765 había presentado Nicholas Joseph Cugnot en París su pesado triciclo movido por un motor de combustión externa es decir, caldera y máquina de Watt, que se movía lentamente y había de pararse cada cien metros para elevar la presión del vapor.
Postion	Tokenization
1	Efectivamente
2	,
3	en
4	1765
5	había
6	presentado
7	Nicholas
8	Joseph
9	Cugnot
10	en
11	París
12	su
13	pesado
14	triciclo
15	movido
16	por
17	un
18	motor
19	de
20	combustión
21	externa
22	es
23	decir
24	,
25	caldera
26	y
27	máquina
28	de
29	Watt
30	,
31	que
32	se
33	movía
34	lentamente
35	y
36	había
37	de
38	pararse
39	parar
40	se
41	cada
42	cien
43	metros
44	para
45	elevar
46	la
47	presión
48	del
49	vapor
50	.
Position	Tokenization	UPOS	Head	Deprel
1	Efectivamente	ADV	6	advmod
2	,	PUNCT	1	punct
3	en	ADP	4	case
4	1765	NOUN	6	obl
5	había	AUX	6	aux
6	presentado	VERB	0	root
7	Nicholas	PROPN	6	nsubj
8	Joseph	PROPN	7	flat
9	Cugnot	PROPN	7	flat
10	en	ADP	11	case
11	París	PROPN	6	obl
12	su	DET	14	det
13	pesado	ADJ	14	amod
14	triciclo	NOUN	6	obj
15	movido	ADJ	14	amod
16	por	ADP	15	case
17	un	DET	18	det
18	motor	NOUN	16	conj
19	de	ADP	20	case
20	combustión	NOUN	18	nmod
21	externa	ADJ	20	amod
22	es	NOUN	25	cc
23	decir	NOUN	22	fixed
24	,	PUNCT	25	punct
25	caldera	NOUN	16	conj
26	y	CCONJ	27	cc
27	máquina	NOUN	25	conj
28	de	ADP	29	case
29	Watt	PROPN	27	nmod
30	,	PUNCT	25	punct
31	que	PRON	33	nsubj
32	se	PRON	33	expl:pv
33	movía	VERB	16	conj
34	lentamente	ADV	33	advmod
35	y	CCONJ	38	cc
36	había	AUX	38	aux
37	de	ADP	38	mark
38	pararse	_	None	_
39	parar	VERB	33	conj
40	se	PRON	38	expl:pv
41	cada	DET	42	det
42	cien	NUM	40	nummod
43	metros	NOUN	38	obl
44	para	ADP	44	mark
45	elevar	VERB	38	advcl
46	la	DET	46	det
47	presión	NOUN	44	obj
48	del	ADP	48	case
49	vapor	NOUN	46	nmod
50	.	PUNCT	6	punct