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 nuestro experimento imaginario se ha verificado un corrimiento de la luz hacia frecuencias más altas - - hacia el extremo azul del espectro visible - - porque el laboratorio en caída libre se movía hacia el receptor.
Postion	Tokenization
1	En
2	nuestro
3	experimento
4	imaginario
5	se
6	ha
7	verificado
8	un
9	corrimiento
10	de
11	la
12	luz
13	hacia
14	frecuencias
15	más
16	altas
17	-
18	-
19	hacia
20	el
21	extremo
22	azul
23	del
24	espectro
25	visible
26	-
27	-
28	porque
29	el
30	laboratorio
31	en
32	caída
33	libre
34	se
35	movía
36	hacia
37	el
38	receptor
39	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	nuestro	DET	3	det
3	experimento	NOUN	7	obl
4	imaginario	ADJ	3	amod
5	se	PRON	7	expl:pass
6	ha	AUX	7	aux
7	verificado	VERB	0	root
8	un	DET	9	det
9	corrimiento	NOUN	7	nsubj
10	de	ADP	12	case
11	la	DET	12	det
12	luz	NOUN	9	nmod
13	hacia	ADP	14	case
14	frecuencias	NOUN	9	nmod
15	más	ADV	16	advmod
16	altas	ADJ	14	amod
17	-	PUNCT	21	punct
18	-	PUNCT	21	punct
19	hacia	ADP	21	case
20	el	DET	21	det
21	extremo	NOUN	14	nmod
22	azul	ADJ	21	amod
23	del	ADP	24	case
24	espectro	NOUN	21	nmod
25	visible	ADJ	24	amod
26	-	PUNCT	21	punct
27	-	PUNCT	21	punct
28	porque	SCONJ	35	mark
29	el	DET	30	det
30	laboratorio	NOUN	35	nsubj
31	en	ADP	32	case
32	caída	NOUN	30	nmod
33	libre	ADJ	32	amod
34	se	PRON	35	expl:pv
35	movía	VERB	7	advcl
36	hacia	ADP	38	case
37	el	DET	38	det
38	receptor	NOUN	35	obl
39	.	PUNCT	7	punct