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:
El ascenso del pasado viernes en Nueva York hasta los 111,28 yenes, el nivel máximo en casi cinco meses, afianzó la creencia de que el dólar ha entrado en un trayecto ascendente y desató una fiebre vendedora para ajustar posiciones.
Postion	Tokenization
1	El
2	ascenso
3	del
4	pasado
5	viernes
6	en
7	Nueva
8	York
9	hasta
10	los
11	111,28
12	yenes
13	,
14	el
15	nivel
16	máximo
17	en
18	casi
19	cinco
20	meses
21	,
22	afianzó
23	la
24	creencia
25	de
26	que
27	el
28	dólar
29	ha
30	entrado
31	en
32	un
33	trayecto
34	ascendente
35	y
36	desató
37	una
38	fiebre
39	vendedora
40	para
41	ajustar
42	posiciones
43	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	ascenso	NOUN	22	nsubj
3	del	ADP	5	case
4	pasado	ADJ	5	amod
5	viernes	NOUN	2	nmod
6	en	ADP	7	case
7	Nueva	PROPN	2	nmod
8	York	PROPN	7	flat
9	hasta	ADP	12	case
10	los	DET	11	det
11	111,28	NUM	12	nummod
12	yenes	NOUN	2	nmod
13	,	PUNCT	15	punct
14	el	DET	15	det
15	nivel	NOUN	12	appos
16	máximo	ADJ	15	amod
17	en	ADP	20	case
18	casi	ADV	20	advmod
19	cinco	NUM	20	nummod
20	meses	NOUN	15	nmod
21	,	PUNCT	15	punct
22	afianzó	VERB	0	root
23	la	DET	24	det
24	creencia	NOUN	22	obj
25	de	ADP	30	mark
26	que	SCONJ	30	mark
27	el	DET	28	det
28	dólar	NOUN	30	nsubj
29	ha	AUX	30	aux
30	entrado	VERB	24	acl
31	en	ADP	33	case
32	un	DET	33	det
33	trayecto	NOUN	30	obl
34	ascendente	ADJ	33	amod
35	y	CCONJ	36	cc
36	desató	VERB	22	conj
37	una	DET	38	det
38	fiebre	NOUN	36	obj
39	vendedora	ADJ	38	amod
40	para	ADP	41	mark
41	ajustar	VERB	38	acl
42	posiciones	NOUN	41	obj
43	.	PUNCT	22	punct