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:
Durante sus seis días en la estación orbital, Ivan Bella realizó experiencias científicas que tienen por objeto contribuir a la preparación de sus compatriotas cosmonautas en futuros viajes al espacio de más larga duración.
Postion	Tokenization
1	Durante
2	sus
3	seis
4	días
5	en
6	la
7	estación
8	orbital
9	,
10	Ivan
11	Bella
12	realizó
13	experiencias
14	científicas
15	que
16	tienen
17	por
18	objeto
19	contribuir
20	a
21	la
22	preparación
23	de
24	sus
25	compatriotas
26	cosmonautas
27	en
28	futuros
29	viajes
30	al
31	espacio
32	de
33	más
34	larga
35	duración
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Durante	ADP	4	case
2	sus	DET	4	det
3	seis	NUM	2	nummod
4	días	NOUN	12	obl
5	en	ADP	7	case
6	la	DET	7	det
7	estación	NOUN	4	nmod
8	orbital	ADJ	7	amod
9	,	PUNCT	4	punct
10	Ivan	PROPN	12	nsubj
11	Bella	PROPN	10	flat
12	realizó	VERB	0	root
13	experiencias	NOUN	12	obj
14	científicas	ADJ	13	amod
15	que	PRON	16	nsubj
16	tienen	VERB	13	acl
17	por	ADP	18	case
18	objeto	NOUN	16	obl
19	contribuir	VERB	16	xcomp
20	a	ADP	22	case
21	la	DET	22	det
22	preparación	NOUN	19	obj
23	de	ADP	25	case
24	sus	DET	25	det
25	compatriotas	NOUN	22	nmod
26	cosmonautas	NOUN	25	nmod
27	en	ADP	29	case
28	futuros	ADJ	29	amod
29	viajes	NOUN	22	nmod
30	al	ADP	31	case
31	espacio	NOUN	29	nmod
32	de	ADP	35	case
33	más	ADV	35	advmod
34	larga	ADJ	35	amod
35	duración	NOUN	29	nmod
36	.	PUNCT	12	punct