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 las comarcas tarraconenses de Ribera d'Ebre, Terra Alta y Priorat la lluvia dañó las cerezas en plena recolección.
Postion	Tokenization
1	En
2	las
3	comarcas
4	tarraconenses
5	de
6	Ribera
7	d'Ebre
8	,
9	Terra
10	Alta
11	y
12	Priorat
13	la
14	lluvia
15	dañó
16	las
17	cerezas
18	en
19	plena
20	recolección
21	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	las	DET	3	det
3	comarcas	NOUN	15	obl
4	tarraconenses	ADJ	3	amod
5	de	ADP	6	case
6	Ribera	PROPN	3	nmod
7	d'Ebre	PROPN	6	flat
8	,	PUNCT	9	punct
9	Terra	PROPN	6	conj
10	Alta	PROPN	9	flat
11	y	CCONJ	12	cc
12	Priorat	PROPN	6	conj
13	la	DET	14	det
14	lluvia	NOUN	15	nsubj
15	dañó	VERB	0	root
16	las	DET	17	det
17	cerezas	NOUN	15	obj
18	en	ADP	20	case
19	plena	ADJ	20	amod
20	recolección	NOUN	17	nmod
21	.	PUNCT	15	punct