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:
Según Sergio Veiga, editor de la nueva revista, "la gran preocupación es explotar todos los asuntos que tienen que ver con los problemas diarios de los conductores de automóviles como" el mantenimiento y la limpieza o cuestiones del tráfico".
Postion	Tokenization
1	Según
2	Sergio
3	Veiga
4	,
5	editor
6	de
7	la
8	nueva
9	revista
10	,
11	"
12	la
13	gran
14	preocupación
15	es
16	explotar
17	todos
18	los
19	asuntos
20	que
21	tienen
22	que
23	ver
24	con
25	los
26	problemas
27	diarios
28	de
29	los
30	conductores
31	de
32	automóviles
33	como
34	"
35	el
36	mantenimiento
37	y
38	la
39	limpieza
40	o
41	cuestiones
42	del
43	tráfico
44	"
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	2	case
2	Sergio	PROPN	15	obl
3	Veiga	PROPN	2	flat
4	,	PUNCT	5	punct
5	editor	NOUN	2	appos
6	de	ADP	9	case
7	la	DET	9	det
8	nueva	ADJ	9	amod
9	revista	NOUN	5	nmod
10	,	PUNCT	5	punct
11	"	PUNCT	15	punct
12	la	DET	14	det
13	gran	ADJ	14	amod
14	preocupación	NOUN	15	nsubj
15	es	AUX	0	root
16	explotar	VERB	15	ccomp
17	todos	DET	18	det
18	los	DET	19	det
19	asuntos	NOUN	16	obj
20	que	PRON	23	nsubj
21	tienen	VERB	19	acl
22	que	SCONJ	23	cc
23	ver	VERB	21	conj
24	con	ADP	26	case
25	los	DET	26	det
26	problemas	NOUN	23	obj
27	diarios	ADJ	26	amod
28	de	ADP	30	case
29	los	DET	30	det
30	conductores	NOUN	26	nmod
31	de	ADP	32	case
32	automóviles	NOUN	30	nmod
33	como	SCONJ	36	mark
34	"	PUNCT	36	punct
35	el	DET	36	det
36	mantenimiento	NOUN	26	nmod
37	y	CCONJ	39	cc
38	la	DET	39	det
39	limpieza	NOUN	36	conj
40	o	CCONJ	41	cc
41	cuestiones	NOUN	36	conj
42	del	ADP	43	case
43	tráfico	NOUN	41	nmod
44	"	PUNCT	36	punct
45	.	PUNCT	15	punct