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:
Ford decidió hacer otro tanto y, después de las diez horas de jornada diaria, se refugiaba en su pequeña caseta a montar piezas y probar motores por la noche.
Postion	Tokenization
1	Ford
2	decidió
3	hacer
4	otro
5	tanto
6	y
7	,
8	después
9	de
10	las
11	diez
12	horas
13	de
14	jornada
15	diaria
16	,
17	se
18	refugiaba
19	en
20	su
21	pequeña
22	caseta
23	a
24	montar
25	piezas
26	y
27	probar
28	motores
29	por
30	la
31	noche
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Ford	PROPN	2	nsubj
2	decidió	VERB	0	root
3	hacer	VERB	2	xcomp
4	otro	DET	5	det
5	tanto	NOUN	3	obj
6	y	CCONJ	18	cc
7	,	PUNCT	8	punct
8	después	ADV	18	advmod
9	de	ADP	12	case
10	las	DET	12	det
11	diez	NUM	10	nummod
12	horas	NOUN	8	obl
13	de	ADP	14	case
14	jornada	NOUN	12	nmod
15	diaria	ADJ	14	amod
16	,	PUNCT	8	punct
17	se	PRON	18	expl:pv
18	refugiaba	VERB	2	conj
19	en	ADP	22	case
20	su	DET	22	det
21	pequeña	ADJ	22	amod
22	caseta	NOUN	18	obl
23	a	ADP	24	mark
24	montar	VERB	18	advcl
25	piezas	NOUN	24	obj
26	y	CCONJ	27	cc
27	probar	VERB	24	conj
28	motores	NOUN	27	obj
29	por	ADP	31	case
30	la	DET	31	det
31	noche	NOUN	18	obl
32	.	PUNCT	2	punct