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:
Entre los rumores que circularon en Wall Street respecto al futuro de JP Morgan destacó el que lo situaba en la esfera de compras del banco alemán Deutsche Bank.
Postion	Tokenization
1	Entre
2	los
3	rumores
4	que
5	circularon
6	en
7	Wall
8	Street
9	respecto
10	al
11	futuro
12	de
13	JP
14	Morgan
15	destacó
16	el
17	que
18	lo
19	situaba
20	en
21	la
22	esfera
23	de
24	compras
25	del
26	banco
27	alemán
28	Deutsche
29	Bank
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Entre	ADP	3	case
2	los	DET	3	det
3	rumores	NOUN	15	obl
4	que	PRON	5	nsubj
5	circularon	VERB	3	acl
6	en	ADP	7	case
7	Wall	PROPN	5	obl
8	Street	PROPN	7	flat
9	respecto	NOUN	11	case
10	al	ADP	9	fixed
11	futuro	NOUN	5	obl
12	de	ADP	13	case
13	JP	PROPN	11	nmod
14	Morgan	PROPN	13	flat
15	destacó	VERB	0	root
16	el	DET	19	det
17	que	PRON	19	nsubj
18	lo	PRON	19	obj
19	situaba	VERB	15	csubj
20	en	ADP	22	case
21	la	DET	22	det
22	esfera	NOUN	19	obl
23	de	ADP	24	case
24	compras	NOUN	22	nmod
25	del	ADP	26	case
26	banco	NOUN	22	nmod
27	alemán	ADJ	26	amod
28	Deutsche	PROPN	26	appos
29	Bank	PROPN	28	flat
30	.	PUNCT	15	punct