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:
Tras las inmersiones del batiscafo "Mir", los responsables de la Armada dijeron que el rescate de los cadáveres de los tripulantes será "muy complicado".
Postion	Tokenization
1	Tras
2	las
3	inmersiones
4	del
5	batiscafo
6	"
7	Mir
8	"
9	,
10	los
11	responsables
12	de
13	la
14	Armada
15	dijeron
16	que
17	el
18	rescate
19	de
20	los
21	cadáveres
22	de
23	los
24	tripulantes
25	será
26	"
27	muy
28	complicado
29	"
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Tras	ADP	3	case
2	las	DET	3	det
3	inmersiones	NOUN	15	obl
4	del	ADP	5	case
5	batiscafo	NOUN	3	nmod
6	"	PUNCT	7	punct
7	Mir	NOUN	5	appos
8	"	PUNCT	7	punct
9	,	PUNCT	3	punct
10	los	DET	11	det
11	responsables	NOUN	15	nsubj
12	de	ADP	14	case
13	la	DET	14	det
14	Armada	PROPN	11	nmod
15	dijeron	VERB	0	root
16	que	SCONJ	28	mark
17	el	DET	18	det
18	rescate	NOUN	28	nsubj
19	de	ADP	21	case
20	los	DET	21	det
21	cadáveres	NOUN	18	nmod
22	de	ADP	24	case
23	los	DET	24	det
24	tripulantes	NOUN	21	nmod
25	será	AUX	28	cop
26	"	PUNCT	28	punct
27	muy	ADV	28	advmod
28	complicado	ADJ	15	ccomp
29	"	PUNCT	28	punct
30	.	PUNCT	15	punct