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:
Vemos, pues, que puede existir un corrimiento de frecuencias tanto al rojo como al azul, aunque el efecto se conoce comúnmente por corrimiento gravitacional al rojo.
Postion	Tokenization
1	Vemos
2	,
3	pues
4	,
5	que
6	puede
7	existir
8	un
9	corrimiento
10	de
11	frecuencias
12	tanto
13	al
14	rojo
15	como
16	al
17	azul
18	,
19	aunque
20	el
21	efecto
22	se
23	conoce
24	comúnmente
25	por
26	corrimiento
27	gravitacional
28	al
29	rojo
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Vemos	VERB	0	root
2	,	PUNCT	1	punct
3	pues	SCONJ	1	mark
4	,	PUNCT	7	punct
5	que	SCONJ	7	mark
6	puede	AUX	7	aux
7	existir	VERB	1	xcomp
8	un	DET	9	det
9	corrimiento	NOUN	7	nsubj
10	de	ADP	11	case
11	frecuencias	NOUN	9	nmod
12	tanto	ADV	14	cc
13	al	ADP	14	case
14	rojo	NOUN	9	nmod
15	como	SCONJ	17	cc
16	al	ADP	17	case
17	azul	NOUN	14	conj
18	,	PUNCT	23	punct
19	aunque	SCONJ	23	mark
20	el	DET	21	det
21	efecto	NOUN	23	nsubj
22	se	PRON	23	expl:pass
23	conoce	VERB	7	advcl
24	comúnmente	ADV	23	advmod
25	por	ADP	26	case
26	corrimiento	NOUN	23	obj
27	gravitacional	ADJ	26	amod
28	al	ADP	29	case
29	rojo	NOUN	26	nmod
30	.	PUNCT	1	punct