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:
El estudio indica que durante algunas semanas del año pasado, entre el precio pagado al productor de fresón y el de venta al público hubo una diferencia cercana a las 300 pesetas por kilo.
Postion	Tokenization
1	El
2	estudio
3	indica
4	que
5	durante
6	algunas
7	semanas
8	del
9	año
10	pasado
11	,
12	entre
13	el
14	precio
15	pagado
16	al
17	productor
18	de
19	fresón
20	y
21	el
22	de
23	venta
24	al
25	público
26	hubo
27	una
28	diferencia
29	cercana
30	a
31	las
32	300
33	pesetas
34	por
35	kilo
36	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	estudio	NOUN	3	nsubj
3	indica	VERB	0	root
4	que	SCONJ	26	mark
5	durante	ADP	7	case
6	algunas	DET	7	det
7	semanas	NOUN	26	obl
8	del	ADP	9	case
9	año	NOUN	7	nmod
10	pasado	ADJ	9	amod
11	,	PUNCT	7	punct
12	entre	ADP	14	case
13	el	DET	14	det
14	precio	NOUN	26	obl
15	pagado	ADJ	14	amod
16	al	ADP	17	case
17	productor	NOUN	15	obj
18	de	ADP	19	case
19	fresón	NOUN	17	nmod
20	y	CCONJ	21	cc
21	el	DET	14	conj
22	de	ADP	21	case
23	venta	NOUN	21	obl
24	al	ADP	25	case
25	público	NOUN	23	nmod
26	hubo	AUX	3	ccomp
27	una	DET	28	det
28	diferencia	NOUN	26	obj
29	cercana	ADJ	28	amod
30	a	ADP	33	case
31	las	DET	32	det
32	300	NUM	33	nummod
33	pesetas	NOUN	29	nmod
34	por	ADP	35	case
35	kilo	NOUN	33	nmod
36	.	PUNCT	3	punct