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:
Es la mayor caída en siete meses y supone un indicio de que el mercado inmobiliario de EEUU puede estar desacelerándose, tras subir el 5,8% en marzo.
Postion	Tokenization
1	Es
2	la
3	mayor
4	caída
5	en
6	siete
7	meses
8	y
9	supone
10	un
11	indicio
12	de
13	que
14	el
15	mercado
16	inmobiliario
17	de
18	EEUU
19	puede
20	estar
21	desacelerándose
22	desacelerando
23	se
24	,
25	tras
26	subir
27	el
28	5,8%
29	en
30	marzo
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Es	AUX	4	cop
2	la	DET	4	det
3	mayor	ADJ	4	amod
4	caída	NOUN	0	root
5	en	ADP	7	case
6	siete	NUM	7	nummod
7	meses	NOUN	4	obl
8	y	CCONJ	9	cc
9	supone	VERB	4	conj
10	un	DET	11	det
11	indicio	NOUN	9	obj
12	de	ADP	21	mark
13	que	SCONJ	21	mark
14	el	DET	15	det
15	mercado	NOUN	21	nsubj
16	inmobiliario	ADJ	15	amod
17	de	ADP	18	case
18	EEUU	PROPN	15	nmod
19	puede	AUX	21	aux
20	estar	AUX	21	aux
21	desacelerándose	_	None	_
22	desacelerando	VERB	11	acl
23	se	PRON	21	expl:pv
24	,	PUNCT	25	punct
25	tras	ADP	25	mark
26	subir	VERB	21	advcl
27	el	DET	27	det
28	5,8%	SYM	25	obj
29	en	ADP	29	case
30	marzo	NOUN	25	obl
31	.	PUNCT	4	punct