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:
Cuidadoso con guisar especies en peligro, el creador es un norteamericano de 26 años, Todd Dalton, que tiene también una empresa que comercializa esos manjares exóticos y ha conseguido vender escorpiones e insectos de lo más variado cubiertos de chocolate en grandes almacenes.
Postion	Tokenization
1	Cuidadoso
2	con
3	guisar
4	especies
5	en
6	peligro
7	,
8	el
9	creador
10	es
11	un
12	norteamericano
13	de
14	26
15	años
16	,
17	Todd
18	Dalton
19	,
20	que
21	tiene
22	también
23	una
24	empresa
25	que
26	comercializa
27	esos
28	manjares
29	exóticos
30	y
31	ha
32	conseguido
33	vender
34	escorpiones
35	e
36	insectos
37	de
38	lo
39	más
40	variado
41	cubiertos
42	de
43	chocolate
44	en
45	grandes
46	almacenes
47	.
Position	Tokenization	UPOS	Head	Deprel
1	Cuidadoso	ADJ	9	amod
2	con	ADP	3	mark
3	guisar	VERB	1	acl
4	especies	NOUN	3	obj
5	en	ADP	6	case
6	peligro	NOUN	4	nmod
7	,	PUNCT	1	punct
8	el	DET	9	det
9	creador	NOUN	12	nsubj
10	es	AUX	12	cop
11	un	DET	12	det
12	norteamericano	NOUN	0	root
13	de	ADP	15	case
14	26	NUM	15	nummod
15	años	NOUN	12	nmod
16	,	PUNCT	17	punct
17	Todd	PROPN	12	appos
18	Dalton	PROPN	17	flat
19	,	PUNCT	17	punct
20	que	PRON	21	nsubj
21	tiene	VERB	12	acl
22	también	ADV	21	advmod
23	una	DET	24	det
24	empresa	NOUN	21	obj
25	que	PRON	26	nsubj
26	comercializa	VERB	24	acl
27	esos	DET	28	det
28	manjares	NOUN	26	obj
29	exóticos	ADJ	28	amod
30	y	CCONJ	32	cc
31	ha	AUX	32	aux
32	conseguido	VERB	21	conj
33	vender	VERB	32	xcomp
34	escorpiones	NOUN	33	obj
35	e	CCONJ	36	cc
36	insectos	NOUN	34	conj
37	de	ADP	40	case
38	lo	PRON	40	det
39	más	ADV	40	advmod
40	variado	ADJ	36	amod
41	cubiertos	ADJ	34	amod
42	de	ADP	43	case
43	chocolate	NOUN	41	obl
44	en	ADP	46	case
45	grandes	ADJ	46	amod
46	almacenes	NOUN	33	obl
47	.	PUNCT	12	punct