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:
Hijo de un campesino acomodado de Dearborn, Michigan, Henry Ford (1863 - 1947) se dedicó desde los dieciséis años a máquinas y motores como aprendiz en los talleres de reparación de Detroit.
Postion	Tokenization
1	Hijo
2	de
3	un
4	campesino
5	acomodado
6	de
7	Dearborn
8	,
9	Michigan
10	,
11	Henry
12	Ford
13	(
14	1863
15	-
16	1947
17	)
18	se
19	dedicó
20	desde
21	los
22	dieciséis
23	años
24	a
25	máquinas
26	y
27	motores
28	como
29	aprendiz
30	en
31	los
32	talleres
33	de
34	reparación
35	de
36	Detroit
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Hijo	NOUN	19	nsubj
2	de	ADP	4	case
3	un	DET	4	det
4	campesino	NOUN	1	nmod
5	acomodado	ADJ	4	amod
6	de	ADP	7	case
7	Dearborn	PROPN	4	nmod
8	,	PUNCT	9	punct
9	Michigan	PROPN	7	flat
10	,	PUNCT	9	punct
11	Henry	PROPN	1	flat
12	Ford	PROPN	11	flat
13	(	PUNCT	14	punct
14	1863	NOUN	11	appos
15	-	PUNCT	14	punct
16	1947	NOUN	14	nmod
17	)	PUNCT	14	punct
18	se	PRON	19	expl:pv
19	dedicó	VERB	0	root
20	desde	ADP	23	case
21	los	DET	23	det
22	dieciséis	NUM	21	nummod
23	años	NOUN	19	obl
24	a	ADP	25	case
25	máquinas	NOUN	19	obj
26	y	CCONJ	27	cc
27	motores	NOUN	25	conj
28	como	SCONJ	29	mark
29	aprendiz	NOUN	19	obl
30	en	ADP	32	case
31	los	DET	32	det
32	talleres	NOUN	19	obl
33	de	ADP	34	case
34	reparación	NOUN	32	nmod
35	de	ADP	36	case
36	Detroit	PROPN	32	nmod
37	.	PUNCT	19	punct