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:
Lomeli agregó en un comunicado que el 95 por ciento de los hogares mexicanos consumen alimentos concentrados para preparar sopas y caldos, producidos por unas 50 compañías tanto del país como extranjeras.
Postion	Tokenization
1	Lomeli
2	agregó
3	en
4	un
5	comunicado
6	que
7	el
8	95
9	por
10	ciento
11	de
12	los
13	hogares
14	mexicanos
15	consumen
16	alimentos
17	concentrados
18	para
19	preparar
20	sopas
21	y
22	caldos
23	,
24	producidos
25	por
26	unas
27	50
28	compañías
29	tanto
30	del
31	país
32	como
33	extranjeras
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Lomeli	PROPN	2	nsubj
2	agregó	VERB	0	root
3	en	ADP	5	case
4	un	DET	5	det
5	comunicado	NOUN	2	obl
6	que	SCONJ	15	mark
7	el	DET	8	det
8	95	NUM	15	nsubj
9	por	ADP	10	case
10	ciento	NUM	8	compound
11	de	ADP	13	case
12	los	DET	13	det
13	hogares	NOUN	8	nmod
14	mexicanos	ADJ	13	amod
15	consumen	VERB	2	ccomp
16	alimentos	NOUN	15	obj
17	concentrados	ADJ	16	amod
18	para	ADP	19	mark
19	preparar	VERB	16	acl
20	sopas	NOUN	19	obj
21	y	CCONJ	22	cc
22	caldos	NOUN	20	conj
23	,	PUNCT	24	punct
24	producidos	ADJ	16	amod
25	por	ADP	28	case
26	unas	PRON	27	nmod
27	50	NUM	28	nummod
28	compañías	NOUN	24	obj
29	tanto	ADV	31	cc
30	del	ADP	31	case
31	país	NOUN	28	nmod
32	como	SCONJ	33	cc
33	extranjeras	ADJ	31	conj
34	.	PUNCT	2	punct