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:
La sanción fue impuesta por el Departamento Administrativo del Medio Ambiente de esta capital del norte colombiano y tras un proceso de siete años que obligaba a la empresa a cumplir con medidas sobre descontaminación.
Postion	Tokenization
1	La
2	sanción
3	fue
4	impuesta
5	por
6	el
7	Departamento
8	Administrativo
9	del
10	Medio
11	Ambiente
12	de
13	esta
14	capital
15	del
16	norte
17	colombiano
18	y
19	tras
20	un
21	proceso
22	de
23	siete
24	años
25	que
26	obligaba
27	a
28	la
29	empresa
30	a
31	cumplir
32	con
33	medidas
34	sobre
35	descontaminación
36	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	sanción	NOUN	4	nsubj
3	fue	AUX	4	aux
4	impuesta	VERB	0	root
5	por	ADP	7	case
6	el	DET	7	det
7	Departamento	PROPN	4	obj
8	Administrativo	PROPN	7	flat
9	del	ADP	10	case
10	Medio	PROPN	7	flat
11	Ambiente	PROPN	7	flat
12	de	ADP	14	case
13	esta	DET	14	det
14	capital	NOUN	7	nmod
15	del	ADP	16	case
16	norte	NOUN	14	nmod
17	colombiano	ADJ	16	amod
18	y	CCONJ	21	cc
19	tras	ADP	21	case
20	un	DET	21	det
21	proceso	NOUN	4	conj
22	de	ADP	24	case
23	siete	NUM	24	nummod
24	años	NOUN	21	nmod
25	que	PRON	26	nsubj
26	obligaba	VERB	21	acl
27	a	ADP	29	case
28	la	DET	29	det
29	empresa	NOUN	26	iobj
30	a	ADP	31	mark
31	cumplir	VERB	26	xcomp
32	con	ADP	33	case
33	medidas	NOUN	31	obj
34	sobre	ADP	35	case
35	descontaminación	NOUN	33	nmod
36	.	PUNCT	4	punct