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 Alcañiz, donde inició su jornada, el Príncipe de Gerona, título con el que los aragoneses gustan llamar a Don Felipe, se sumergió en el mar de datos que genera la industria agrícola y ganadera.
Postion	Tokenization
1	En
2	Alcañiz
3	,
4	donde
5	inició
6	su
7	jornada
8	,
9	el
10	Príncipe
11	de
12	Gerona
13	,
14	título
15	con
16	el
17	que
18	los
19	aragoneses
20	gustan
21	llamar
22	a
23	Don
24	Felipe
25	,
26	se
27	sumergió
28	en
29	el
30	mar
31	de
32	datos
33	que
34	genera
35	la
36	industria
37	agrícola
38	y
39	ganadera
40	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	Alcañiz	PROPN	27	obl
3	,	PUNCT	5	punct
4	donde	PRON	5	obl
5	inició	VERB	2	acl
6	su	DET	7	det
7	jornada	NOUN	5	obj
8	,	PUNCT	5	punct
9	el	DET	10	det
10	Príncipe	PROPN	27	nsubj
11	de	ADP	12	case
12	Gerona	PROPN	10	flat
13	,	PUNCT	14	punct
14	título	NOUN	10	appos
15	con	ADP	17	case
16	el	DET	17	det
17	que	PRON	20	obl
18	los	DET	19	det
19	aragoneses	NOUN	20	nsubj
20	gustan	VERB	14	acl
21	llamar	VERB	20	xcomp
22	a	ADP	23	case
23	Don	PROPN	21	obj
24	Felipe	PROPN	23	flat
25	,	PUNCT	14	punct
26	se	PRON	27	expl:pv
27	sumergió	VERB	0	root
28	en	ADP	30	case
29	el	DET	30	det
30	mar	NOUN	27	obl
31	de	ADP	32	case
32	datos	NOUN	30	nmod
33	que	PRON	34	obj
34	genera	VERB	30	acl
35	la	DET	36	det
36	industria	NOUN	34	nsubj
37	agrícola	ADJ	36	amod
38	y	CCONJ	39	cc
39	ganadera	ADJ	37	conj
40	.	PUNCT	27	punct