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:
Lomelí exigió a las autoridades sanitarias que alerten a las familias para evitar que la comida de bebés, niños y mujeres embarazadas contengan granulados, que en" nada contribuyen a una buena alimentación".
Postion	Tokenization
1	Lomelí
2	exigió
3	a
4	las
5	autoridades
6	sanitarias
7	que
8	alerten
9	a
10	las
11	familias
12	para
13	evitar
14	que
15	la
16	comida
17	de
18	bebés
19	,
20	niños
21	y
22	mujeres
23	embarazadas
24	contengan
25	granulados
26	,
27	que
28	en"
29	nada
30	contribuyen
31	a
32	una
33	buena
34	alimentación
35	"
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Lomelí	PROPN	2	nsubj
2	exigió	VERB	0	root
3	a	ADP	5	case
4	las	DET	5	det
5	autoridades	NOUN	2	iobj
6	sanitarias	ADJ	5	amod
7	que	SCONJ	8	mark
8	alerten	VERB	2	ccomp
9	a	ADP	11	case
10	las	DET	11	det
11	familias	NOUN	8	obj
12	para	ADP	13	mark
13	evitar	VERB	8	advcl
14	que	SCONJ	24	mark
15	la	DET	16	det
16	comida	NOUN	24	nsubj
17	de	ADP	18	case
18	bebés	NOUN	16	nmod
19	,	PUNCT	20	punct
20	niños	NOUN	18	conj
21	y	CCONJ	22	cc
22	mujeres	NOUN	18	conj
23	embarazadas	ADJ	22	amod
24	contengan	VERB	13	ccomp
25	granulados	NOUN	24	obj
26	,	PUNCT	30	punct
27	que	PRON	30	nsubj
28	en"	NOUN	30	advmod
29	nada	NOUN	28	fixed
30	contribuyen	VERB	25	acl
31	a	ADP	34	case
32	una	DET	34	det
33	buena	ADJ	34	amod
34	alimentación	NOUN	30	obj
35	"	PUNCT	30	punct
36	.	PUNCT	2	punct