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:
En esta operación simultánea, los submarinistas introdujeron en la cámara nueve una manguera para limpiar el interior de restos de gasóleo, aceites y otras sustancias que dificultan la vista.
Postion	Tokenization
1	En
2	esta
3	operación
4	simultánea
5	,
6	los
7	submarinistas
8	introdujeron
9	en
10	la
11	cámara
12	nueve
13	una
14	manguera
15	para
16	limpiar
17	el
18	interior
19	de
20	restos
21	de
22	gasóleo
23	,
24	aceites
25	y
26	otras
27	sustancias
28	que
29	dificultan
30	la
31	vista
32	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	esta	DET	3	det
3	operación	NOUN	8	obl
4	simultánea	ADJ	3	amod
5	,	PUNCT	3	punct
6	los	DET	7	det
7	submarinistas	NOUN	8	nsubj
8	introdujeron	VERB	0	root
9	en	ADP	11	case
10	la	DET	11	det
11	cámara	NOUN	8	obl
12	nueve	NUM	11	nummod
13	una	DET	14	det
14	manguera	NOUN	8	obj
15	para	ADP	16	mark
16	limpiar	VERB	8	advcl
17	el	DET	18	det
18	interior	NOUN	16	obj
19	de	ADP	20	case
20	restos	NOUN	16	obl
21	de	ADP	22	case
22	gasóleo	NOUN	20	nmod
23	,	PUNCT	24	punct
24	aceites	NOUN	22	appos
25	y	CCONJ	27	cc
26	otras	DET	27	det
27	sustancias	NOUN	22	conj
28	que	PRON	29	nsubj
29	dificultan	VERB	27	acl
30	la	DET	31	det
31	vista	NOUN	29	obj
32	.	PUNCT	8	punct