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:
Las asociaciones de productores agropecuarios, a excepción de la Sociedad Rural Argentina (SRA), organizaron la huelga para exigir que el gobierno reduzca los impuestos y aumente la ayuda al sector.
Postion	Tokenization
1	Las
2	asociaciones
3	de
4	productores
5	agropecuarios
6	,
7	a
8	excepción
9	de
10	la
11	Sociedad
12	Rural
13	Argentina
14	(
15	SRA
16	)
17	,
18	organizaron
19	la
20	huelga
21	para
22	exigir
23	que
24	el
25	gobierno
26	reduzca
27	los
28	impuestos
29	y
30	aumente
31	la
32	ayuda
33	al
34	sector
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	asociaciones	NOUN	18	nsubj
3	de	ADP	4	case
4	productores	NOUN	2	nmod
5	agropecuarios	ADJ	4	amod
6	,	PUNCT	11	punct
7	a	ADP	11	case
8	excepción	NOUN	7	fixed
9	de	ADP	7	fixed
10	la	DET	11	det
11	Sociedad	PROPN	2	nmod
12	Rural	PROPN	11	flat
13	Argentina	PROPN	11	flat
14	(	PUNCT	15	punct
15	SRA	PROPN	11	flat
16	)	PUNCT	15	punct
17	,	PUNCT	2	punct
18	organizaron	VERB	0	root
19	la	DET	20	det
20	huelga	NOUN	18	obj
21	para	ADP	22	mark
22	exigir	VERB	20	acl
23	que	SCONJ	26	mark
24	el	DET	25	det
25	gobierno	NOUN	26	nsubj
26	reduzca	VERB	22	ccomp
27	los	DET	28	det
28	impuestos	NOUN	26	obj
29	y	CCONJ	30	cc
30	aumente	VERB	26	conj
31	la	DET	32	det
32	ayuda	NOUN	30	obj
33	al	ADP	34	case
34	sector	NOUN	32	nmod
35	.	PUNCT	18	punct