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:
Y eso que la lluvia casi lo estropea todo: "Cuando hemos llegado por la mañana, el campo estaba inundado por la lluvia y hemos tenido que achicar agua", relataba Batlle.
Postion	Tokenization
1	Y
2	eso
3	que
4	la
5	lluvia
6	casi
7	lo
8	estropea
9	todo
10	:
11	"
12	Cuando
13	hemos
14	llegado
15	por
16	la
17	mañana
18	,
19	el
20	campo
21	estaba
22	inundado
23	por
24	la
25	lluvia
26	y
27	hemos
28	tenido
29	que
30	achicar
31	agua
32	"
33	,
34	relataba
35	Batlle
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	8	advmod
2	eso	PRON	8	obl
3	que	SCONJ	8	mark
4	la	DET	5	det
5	lluvia	NOUN	8	nsubj
6	casi	ADV	8	advmod
7	lo	PRON	8	obj
8	estropea	VERB	0	root
9	todo	PRON	8	iobj
10	:	PUNCT	34	punct
11	"	PUNCT	34	punct
12	Cuando	SCONJ	14	mark
13	hemos	AUX	14	aux
14	llegado	VERB	34	ccomp
15	por	ADP	17	case
16	la	DET	17	det
17	mañana	NOUN	14	obl
18	,	PUNCT	14	punct
19	el	DET	20	det
20	campo	NOUN	22	nsubj
21	estaba	AUX	22	cop
22	inundado	ADJ	14	advcl
23	por	ADP	25	case
24	la	DET	25	det
25	lluvia	NOUN	22	obl
26	y	CCONJ	28	cc
27	hemos	AUX	30	aux
28	tenido	VERB	22	conj
29	que	SCONJ	30	cc
30	achicar	VERB	28	conj
31	agua	NOUN	30	obj
32	"	PUNCT	14	punct
33	,	PUNCT	14	punct
34	relataba	VERB	8	advcl
35	Batlle	PROPN	34	nsubj
36	.	PUNCT	8	punct