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 Lomelí, los fabricantes gastan millones de dólares en publicidad para convencer a las amas de casa de que sus productos concentrados las convertirán en "expertas cocineras dominadoras del arte del buen sazón".
Postion	Tokenization
1	Según
2	Lomelí
3	,
4	los
5	fabricantes
6	gastan
7	millones
8	de
9	dólares
10	en
11	publicidad
12	para
13	convencer
14	a
15	las
16	amas
17	de
18	casa
19	de
20	que
21	sus
22	productos
23	concentrados
24	las
25	convertirán
26	en
27	"
28	expertas
29	cocineras
30	dominadoras
31	del
32	arte
33	del
34	buen
35	sazón
36	"
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	2	case
2	Lomelí	PROPN	6	obl
3	,	PUNCT	2	punct
4	los	DET	5	det
5	fabricantes	NOUN	6	nsubj
6	gastan	VERB	0	root
7	millones	NOUN	6	obj
8	de	ADP	9	case
9	dólares	NOUN	7	nmod
10	en	ADP	11	case
11	publicidad	NOUN	6	obl
12	para	ADP	13	mark
13	convencer	VERB	6	advcl
14	a	ADP	16	case
15	las	DET	16	det
16	amas	NOUN	13	iobj
17	de	ADP	18	case
18	casa	NOUN	16	nmod
19	de	ADP	25	mark
20	que	SCONJ	25	mark
21	sus	DET	22	det
22	productos	NOUN	25	nsubj
23	concentrados	ADJ	22	amod
24	las	PRON	25	obj
25	convertirán	VERB	13	ccomp
26	en	ADP	29	case
27	"	PUNCT	29	punct
28	expertas	ADJ	29	amod
29	cocineras	NOUN	25	iobj
30	dominadoras	ADJ	29	amod
31	del	ADP	32	case
32	arte	NOUN	30	nmod
33	del	ADP	35	case
34	buen	ADJ	35	amod
35	sazón	NOUN	32	nmod
36	"	PUNCT	29	punct
37	.	PUNCT	6	punct