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 la reunión de hoy de la comisión, sus miembros examinaron toda la documentación material, técnica y gráfica recogida los últimos días por el buque científico "Akademik Mstislav Keldish" en el lugar del accidente.
Postion	Tokenization
1	En
2	la
3	reunión
4	de
5	hoy
6	de
7	la
8	comisión
9	,
10	sus
11	miembros
12	examinaron
13	toda
14	la
15	documentación
16	material
17	,
18	técnica
19	y
20	gráfica
21	recogida
22	los
23	últimos
24	días
25	por
26	el
27	buque
28	científico
29	"
30	Akademik
31	Mstislav
32	Keldish
33	"
34	en
35	el
36	lugar
37	del
38	accidente
39	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	reunión	NOUN	12	obl
4	de	ADP	5	case
5	hoy	ADV	3	advmod
6	de	ADP	8	case
7	la	DET	8	det
8	comisión	NOUN	3	nmod
9	,	PUNCT	3	punct
10	sus	DET	11	det
11	miembros	NOUN	12	nsubj
12	examinaron	VERB	0	root
13	toda	DET	14	det
14	la	DET	15	det
15	documentación	NOUN	12	obj
16	material	ADJ	15	amod
17	,	PUNCT	18	punct
18	técnica	ADJ	16	conj
19	y	CCONJ	20	cc
20	gráfica	ADJ	16	conj
21	recogida	ADJ	15	amod
22	los	DET	24	det
23	últimos	ADJ	24	amod
24	días	NOUN	21	obl
25	por	ADP	27	case
26	el	DET	27	det
27	buque	NOUN	21	obj
28	científico	ADJ	27	amod
29	"	PUNCT	30	punct
30	Akademik	PROPN	27	appos
31	Mstislav	PROPN	30	flat
32	Keldish	PROPN	30	flat
33	"	PUNCT	30	punct
34	en	ADP	36	case
35	el	DET	36	det
36	lugar	NOUN	21	obl
37	del	ADP	38	case
38	accidente	NOUN	36	nmod
39	.	PUNCT	12	punct