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:
El abogado norteamericano Ralph Nader en 1965 decía en un libro famoso: - Por más de medio siglo el automóvil ha traído la muerte, las heridas e incalculables penas y privaciones a millones de personas -.
Postion	Tokenization
1	El
2	abogado
3	norteamericano
4	Ralph
5	Nader
6	en
7	1965
8	decía
9	en
10	un
11	libro
12	famoso
13	:
14	-
15	Por
16	más
17	de
18	medio
19	siglo
20	el
21	automóvil
22	ha
23	traído
24	la
25	muerte
26	,
27	las
28	heridas
29	e
30	incalculables
31	penas
32	y
33	privaciones
34	a
35	millones
36	de
37	personas
38	-
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	abogado	NOUN	8	nsubj
3	norteamericano	ADJ	2	amod
4	Ralph	PROPN	2	appos
5	Nader	PROPN	4	flat
6	en	ADP	7	case
7	1965	NOUN	8	obl
8	decía	VERB	0	root
9	en	ADP	11	case
10	un	DET	11	det
11	libro	NOUN	8	obl
12	famoso	ADJ	11	amod
13	:	PUNCT	23	punct
14	-	PUNCT	23	punct
15	Por	ADP	16	case
16	más	ADV	23	advmod
17	de	ADP	19	case
18	medio	ADJ	19	amod
19	siglo	NOUN	16	obl
20	el	DET	21	det
21	automóvil	NOUN	23	nsubj
22	ha	AUX	23	aux
23	traído	VERB	8	ccomp
24	la	DET	25	det
25	muerte	NOUN	23	obj
26	,	PUNCT	28	punct
27	las	DET	28	det
28	heridas	NOUN	25	appos
29	e	CCONJ	31	cc
30	incalculables	ADJ	31	amod
31	penas	NOUN	25	conj
32	y	CCONJ	33	cc
33	privaciones	NOUN	31	conj
34	a	ADP	35	case
35	millones	NOUN	23	obj
36	de	ADP	37	case
37	personas	NOUN	35	nmod
38	-	PUNCT	8	punct
39	.	PUNCT	8	punct