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:
A media sesión, se conoció la profunda desaceleración de la economía norteamericana en el cuarto trimestre y ello aumentó la certeza de que la Reserva Federal iba a rebajar los tipos de interés al final del día.
Postion	Tokenization
1	A
2	media
3	sesión
4	,
5	se
6	conoció
7	la
8	profunda
9	desaceleración
10	de
11	la
12	economía
13	norteamericana
14	en
15	el
16	cuarto
17	trimestre
18	y
19	ello
20	aumentó
21	la
22	certeza
23	de
24	que
25	la
26	Reserva
27	Federal
28	iba
29	a
30	rebajar
31	los
32	tipos
33	de
34	interés
35	al
36	final
37	del
38	día
39	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	3	case
2	media	NUM	3	nummod
3	sesión	NOUN	6	obl
4	,	PUNCT	3	punct
5	se	PRON	6	expl:pass
6	conoció	VERB	0	root
7	la	DET	9	det
8	profunda	ADJ	9	amod
9	desaceleración	NOUN	6	nsubj
10	de	ADP	12	case
11	la	DET	12	det
12	economía	NOUN	9	nmod
13	norteamericana	ADJ	12	amod
14	en	ADP	17	case
15	el	DET	17	det
16	cuarto	ADJ	17	amod
17	trimestre	ADJ	9	amod
18	y	CCONJ	20	cc
19	ello	PRON	20	nsubj
20	aumentó	VERB	6	conj
21	la	DET	22	det
22	certeza	NOUN	20	obj
23	de	ADP	30	mark
24	que	SCONJ	30	mark
25	la	DET	26	det
26	Reserva	PROPN	30	nsubj
27	Federal	PROPN	26	flat
28	iba	AUX	30	aux
29	a	ADP	30	mark
30	rebajar	VERB	22	acl
31	los	DET	32	det
32	tipos	NOUN	30	obj
33	de	ADP	34	case
34	interés	NOUN	32	nmod
35	al	ADP	36	case
36	final	NOUN	30	obl
37	del	ADP	38	case
38	día	NOUN	36	nmod
39	.	PUNCT	6	punct