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:
La revista abordará temas que van "desde la prevención de los problemas mecánicos hasta los efectos sobre los conductores de algunos medicamentos, o la seguridad de los menores cuando viajan en los automóviles", dijo Veiga.
Postion	Tokenization
1	La
2	revista
3	abordará
4	temas
5	que
6	van
7	"
8	desde
9	la
10	prevención
11	de
12	los
13	problemas
14	mecánicos
15	hasta
16	los
17	efectos
18	sobre
19	los
20	conductores
21	de
22	algunos
23	medicamentos
24	,
25	o
26	la
27	seguridad
28	de
29	los
30	menores
31	cuando
32	viajan
33	en
34	los
35	automóviles
36	"
37	,
38	dijo
39	Veiga
40	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	revista	NOUN	3	nsubj
3	abordará	VERB	38	ccomp
4	temas	NOUN	3	obj
5	que	PRON	6	nsubj
6	van	VERB	4	acl
7	"	PUNCT	6	punct
8	desde	ADP	10	case
9	la	DET	10	det
10	prevención	NOUN	6	obl
11	de	ADP	13	case
12	los	DET	13	det
13	problemas	NOUN	10	nmod
14	mecánicos	ADJ	13	amod
15	hasta	ADP	17	case
16	los	DET	17	det
17	efectos	NOUN	6	obl
18	sobre	ADP	20	case
19	los	DET	20	det
20	conductores	NOUN	17	nmod
21	de	ADP	23	case
22	algunos	DET	23	det
23	medicamentos	NOUN	20	nmod
24	,	PUNCT	27	punct
25	o	CCONJ	27	cc
26	la	DET	27	det
27	seguridad	NOUN	17	conj
28	de	ADP	30	case
29	los	DET	30	det
30	menores	ADJ	27	amod
31	cuando	SCONJ	32	mark
32	viajan	VERB	27	acl
33	en	ADP	35	case
34	los	DET	35	det
35	automóviles	NOUN	32	obl
36	"	PUNCT	3	punct
37	,	PUNCT	3	punct
38	dijo	VERB	0	root
39	Veiga	PROPN	38	nsubj
40	.	PUNCT	38	punct