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:
En el caso de la agroindustria avícola, millares de pollitos han sido regalados o arrojados en las carreteras por los empresarios de Santander.
Postion	Tokenization
1	En
2	el
3	caso
4	de
5	la
6	agroindustria
7	avícola
8	,
9	millares
10	de
11	pollitos
12	han
13	sido
14	regalados
15	o
16	arrojados
17	en
18	las
19	carreteras
20	por
21	los
22	empresarios
23	de
24	Santander
25	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	caso	NOUN	14	obl
4	de	ADP	6	case
5	la	DET	6	det
6	agroindustria	NOUN	3	nmod
7	avícola	ADJ	6	amod
8	,	PUNCT	3	punct
9	millares	NOUN	14	nsubj
10	de	ADP	11	case
11	pollitos	NOUN	9	nmod
12	han	AUX	14	aux
13	sido	AUX	14	aux
14	regalados	VERB	0	root
15	o	CCONJ	16	cc
16	arrojados	VERB	14	conj
17	en	ADP	19	case
18	las	DET	19	det
19	carreteras	NOUN	16	obl
20	por	ADP	22	case
21	los	DET	22	det
22	empresarios	NOUN	14	obj
23	de	ADP	24	case
24	Santander	PROPN	22	nmod
25	.	PUNCT	14	punct