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:
Una vez finalizado el experimento se constataron 273 y 59 nanosegundos respectivamente, valores que entran cómodamente dentro del margen de 20 nanosegundos que se dieron los científicos para amortiguar los posibles errores de medición.
Postion	Tokenization
1	Una
2	vez
3	finalizado
4	el
5	experimento
6	se
7	constataron
8	273
9	y
10	59
11	nanosegundos
12	respectivamente
13	,
14	valores
15	que
16	entran
17	cómodamente
18	dentro
19	del
20	margen
21	de
22	20
23	nanosegundos
24	que
25	se
26	dieron
27	los
28	científicos
29	para
30	amortiguar
31	los
32	posibles
33	errores
34	de
35	medición
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	DET	2	det
2	vez	NOUN	3	obl
3	finalizado	VERB	7	advcl
4	el	DET	5	det
5	experimento	NOUN	3	nsubj
6	se	PRON	7	expl:pass
7	constataron	VERB	0	root
8	273	NUM	7	nsubj
9	y	CCONJ	11	cc
10	59	NUM	11	nummod
11	nanosegundos	NOUN	8	conj
12	respectivamente	ADV	8	advmod
13	,	PUNCT	14	punct
14	valores	NOUN	8	appos
15	que	PRON	16	nsubj
16	entran	VERB	14	acl
17	cómodamente	ADV	16	advmod
18	dentro	ADV	20	case
19	del	ADP	18	fixed
20	margen	NOUN	16	obl
21	de	ADP	23	case
22	20	NUM	23	nummod
23	nanosegundos	NOUN	20	nmod
24	que	PRON	26	obj
25	se	PRON	26	iobj
26	dieron	VERB	20	acl
27	los	DET	28	det
28	científicos	NOUN	26	nsubj
29	para	ADP	30	mark
30	amortiguar	VERB	26	advcl
31	los	DET	33	det
32	posibles	ADJ	33	amod
33	errores	NOUN	30	obj
34	de	ADP	35	case
35	medición	NOUN	33	nmod
36	.	PUNCT	7	punct