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:
En 1904 un tal Henry Hayes de Denver, Colorado, patentó una curiosa solución: un caballo mecánico que llevaba adosadas dos ruedecillas en las patas delanteras y las traseras sujetas al eje delantero del auto.
Postion	Tokenization
1	En
2	1904
3	un
4	tal
5	Henry
6	Hayes
7	de
8	Denver
9	,
10	Colorado
11	,
12	patentó
13	una
14	curiosa
15	solución
16	:
17	un
18	caballo
19	mecánico
20	que
21	llevaba
22	adosadas
23	dos
24	ruedecillas
25	en
26	las
27	patas
28	delanteras
29	y
30	las
31	traseras
32	sujetas
33	al
34	eje
35	delantero
36	del
37	auto
38	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	1904	NOUN	12	obl
3	un	DET	4	det
4	tal	DET	5	det
5	Henry	PROPN	12	nsubj
6	Hayes	PROPN	5	flat
7	de	ADP	8	case
8	Denver	PROPN	5	nmod
9	,	PUNCT	10	punct
10	Colorado	PROPN	8	flat
11	,	PUNCT	10	punct
12	patentó	VERB	0	root
13	una	DET	15	det
14	curiosa	ADJ	15	amod
15	solución	NOUN	12	obj
16	:	PUNCT	18	punct
17	un	DET	18	det
18	caballo	NOUN	15	appos
19	mecánico	ADJ	18	amod
20	que	PRON	21	nsubj
21	llevaba	VERB	18	acl
22	adosadas	ADJ	21	obj
23	dos	NUM	24	nummod
24	ruedecillas	NOUN	21	obj
25	en	ADP	27	case
26	las	DET	27	det
27	patas	NOUN	21	obl
28	delanteras	ADJ	27	amod
29	y	CCONJ	32	cc
30	las	DET	31	det
31	traseras	ADJ	32	obj
32	sujetas	ADJ	21	conj
33	al	ADP	34	case
34	eje	NOUN	32	obl
35	delantero	ADJ	34	amod
36	del	ADP	37	case
37	auto	NOUN	34	nmod
38	.	PUNCT	12	punct