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 huelga no afectará el abastecimiento debido a que los frigoríficos, las empresas alimentarias y las cadenas de supermercados aumentaron sus compras la semana pasada en previsión de una escasez de productos.
Postion	Tokenization
1	La
2	huelga
3	no
4	afectará
5	el
6	abastecimiento
7	debido
8	a
9	que
10	los
11	frigoríficos
12	,
13	las
14	empresas
15	alimentarias
16	y
17	las
18	cadenas
19	de
20	supermercados
21	aumentaron
22	sus
23	compras
24	la
25	semana
26	pasada
27	en
28	previsión
29	de
30	una
31	escasez
32	de
33	productos
34	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	huelga	NOUN	4	nsubj
3	no	ADV	4	advmod
4	afectará	VERB	0	root
5	el	DET	6	det
6	abastecimiento	NOUN	4	obj
7	debido	ADJ	21	mark
8	a	ADP	7	fixed
9	que	SCONJ	7	fixed
10	los	DET	11	det
11	frigoríficos	NOUN	21	nsubj
12	,	PUNCT	14	punct
13	las	DET	14	det
14	empresas	NOUN	11	appos
15	alimentarias	ADJ	14	amod
16	y	CCONJ	18	cc
17	las	DET	18	det
18	cadenas	NOUN	11	conj
19	de	ADP	20	case
20	supermercados	NOUN	18	nmod
21	aumentaron	VERB	4	advcl
22	sus	DET	23	det
23	compras	NOUN	21	obj
24	la	DET	25	det
25	semana	NOUN	21	obl
26	pasada	ADJ	25	amod
27	en	ADP	28	case
28	previsión	NOUN	21	obl
29	de	ADP	31	case
30	una	DET	31	det
31	escasez	NOUN	28	nmod
32	de	ADP	33	case
33	productos	NOUN	31	nmod
34	.	PUNCT	4	punct