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:
El máximo responsable de la operación, el comisario Jesús Espigares, recordó que el barco, que tiene 120 metros de eslora, porta contenedores con una carga legal de 5.000 toneladas de acero enrolladas en bobinas y 1.000 toneladas de asfalto distribuidos en bidones.
Postion	Tokenization
1	El
2	máximo
3	responsable
4	de
5	la
6	operación
7	,
8	el
9	comisario
10	Jesús
11	Espigares
12	,
13	recordó
14	que
15	el
16	barco
17	,
18	que
19	tiene
20	120
21	metros
22	de
23	eslora
24	,
25	porta
26	contenedores
27	con
28	una
29	carga
30	legal
31	de
32	5.000
33	toneladas
34	de
35	acero
36	enrolladas
37	en
38	bobinas
39	y
40	1.000
41	toneladas
42	de
43	asfalto
44	distribuidos
45	en
46	bidones
47	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	máximo	ADJ	3	amod
3	responsable	NOUN	13	nsubj
4	de	ADP	6	case
5	la	DET	6	det
6	operación	NOUN	3	nmod
7	,	PUNCT	9	punct
8	el	DET	9	det
9	comisario	NOUN	3	appos
10	Jesús	PROPN	9	appos
11	Espigares	PROPN	10	flat
12	,	PUNCT	9	punct
13	recordó	VERB	0	root
14	que	SCONJ	25	mark
15	el	DET	16	det
16	barco	NOUN	25	nsubj
17	,	PUNCT	19	punct
18	que	PRON	19	nsubj
19	tiene	VERB	16	acl
20	120	NUM	21	nummod
21	metros	NOUN	19	obj
22	de	ADP	23	case
23	eslora	NOUN	21	nmod
24	,	PUNCT	19	punct
25	porta	VERB	13	ccomp
26	contenedores	NOUN	25	obj
27	con	ADP	29	case
28	una	DET	29	det
29	carga	NOUN	26	nmod
30	legal	ADJ	29	amod
31	de	ADP	33	case
32	5.000	NUM	33	nummod
33	toneladas	NOUN	29	nmod
34	de	ADP	35	case
35	acero	NOUN	33	nmod
36	enrolladas	ADJ	33	amod
37	en	ADP	38	case
38	bobinas	NOUN	36	obl
39	y	CCONJ	41	cc
40	1.000	NUM	41	nummod
41	toneladas	NOUN	33	conj
42	de	ADP	43	case
43	asfalto	NOUN	41	nmod
44	distribuidos	ADJ	41	amod
45	en	ADP	46	case
46	bidones	NOUN	44	obl
47	.	PUNCT	13	punct