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 otras palabras, el corrimiento al rojo afecta a todos los relojes y a su funcionamiento, lo mismo si son mecánicos, biológicos o atómicos.
Postion	Tokenization
1	En
2	otras
3	palabras
4	,
5	el
6	corrimiento
7	al
8	rojo
9	afecta
10	a
11	todos
12	los
13	relojes
14	y
15	a
16	su
17	funcionamiento
18	,
19	lo
20	mismo
21	si
22	son
23	mecánicos
24	,
25	biológicos
26	o
27	atómicos
28	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	otras	DET	3	det
3	palabras	NOUN	9	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	corrimiento	NOUN	9	nsubj
7	al	ADP	8	case
8	rojo	NOUN	6	nmod
9	afecta	VERB	0	root
10	a	ADP	13	case
11	todos	DET	12	det
12	los	DET	13	det
13	relojes	NOUN	9	obj
14	y	CCONJ	17	cc
15	a	ADP	17	case
16	su	DET	17	det
17	funcionamiento	NOUN	13	conj
18	,	PUNCT	9	punct
19	lo	PRON	23	advmod
20	mismo	ADJ	19	fixed
21	si	SCONJ	23	mark
22	son	AUX	23	cop
23	mecánicos	ADJ	9	advcl
24	,	PUNCT	25	punct
25	biológicos	ADJ	23	amod
26	o	CCONJ	27	cc
27	atómicos	ADJ	23	conj
28	.	PUNCT	9	punct