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:
Cuatro años después, dichas obligaciones estaban por cumplir, agregó Herrera, quien observó que la compañía recibió una multa de 1.872 millones de pesos (892,7 millones de dólares).
Postion	Tokenization
1	Cuatro
2	años
3	después
4	,
5	dichas
6	obligaciones
7	estaban
8	por
9	cumplir
10	,
11	agregó
12	Herrera
13	,
14	quien
15	observó
16	que
17	la
18	compañía
19	recibió
20	una
21	multa
22	de
23	1.872
24	millones
25	de
26	pesos
27	(
28	892,7
29	millones
30	de
31	dólares
32	)
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Cuatro	NUM	2	nummod
2	años	NOUN	7	obl
3	después	ADV	2	advmod
4	,	PUNCT	2	punct
5	dichas	ADJ	6	amod
6	obligaciones	NOUN	7	nsubj
7	estaban	VERB	11	ccomp
8	por	ADP	9	mark
9	cumplir	VERB	7	ccomp
10	,	PUNCT	7	punct
11	agregó	VERB	0	root
12	Herrera	PROPN	11	nsubj
13	,	PUNCT	15	punct
14	quien	PRON	15	nsubj
15	observó	VERB	12	acl
16	que	SCONJ	19	mark
17	la	DET	18	det
18	compañía	NOUN	19	nsubj
19	recibió	VERB	15	ccomp
20	una	DET	21	det
21	multa	NOUN	19	obj
22	de	ADP	24	case
23	1.872	NUM	24	nummod
24	millones	NOUN	21	nmod
25	de	ADP	26	case
26	pesos	NOUN	24	nmod
27	(	PUNCT	29	punct
28	892,7	NUM	29	nummod
29	millones	NOUN	24	appos
30	de	ADP	31	case
31	dólares	NOUN	29	nmod
32	)	PUNCT	29	punct
33	.	PUNCT	11	punct