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:
Las previsiones más optimistas sobre el futuro de las tasas y de la marcha de la economía estadounidense, así como el buen rendimiento de algunas empresas de nuevas tecnologías, permitieron que el Nasdaq cerrara en el nivel más alto de su historia.
Postion	Tokenization
1	Las
2	previsiones
3	más
4	optimistas
5	sobre
6	el
7	futuro
8	de
9	las
10	tasas
11	y
12	de
13	la
14	marcha
15	de
16	la
17	economía
18	estadounidense
19	,
20	así
21	como
22	el
23	buen
24	rendimiento
25	de
26	algunas
27	empresas
28	de
29	nuevas
30	tecnologías
31	,
32	permitieron
33	que
34	el
35	Nasdaq
36	cerrara
37	en
38	el
39	nivel
40	más
41	alto
42	de
43	su
44	historia
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	previsiones	NOUN	32	nsubj
3	más	ADV	4	advmod
4	optimistas	ADJ	2	amod
5	sobre	ADP	2	case
6	el	DET	7	det
7	futuro	NOUN	5	conj
8	de	ADP	10	case
9	las	DET	10	det
10	tasas	NOUN	7	nmod
11	y	CCONJ	14	cc
12	de	ADP	14	case
13	la	DET	14	det
14	marcha	NOUN	10	conj
15	de	ADP	17	case
16	la	DET	17	det
17	economía	NOUN	14	nmod
18	estadounidense	ADJ	17	amod
19	,	PUNCT	24	punct
20	así	ADV	24	cc
21	como	SCONJ	20	fixed
22	el	DET	24	det
23	buen	ADJ	24	amod
24	rendimiento	NOUN	5	conj
25	de	ADP	27	case
26	algunas	DET	27	det
27	empresas	NOUN	24	nmod
28	de	ADP	30	case
29	nuevas	ADJ	30	amod
30	tecnologías	NOUN	27	nmod
31	,	PUNCT	2	punct
32	permitieron	VERB	0	root
33	que	SCONJ	36	mark
34	el	DET	35	det
35	Nasdaq	PROPN	36	nsubj
36	cerrara	VERB	32	ccomp
37	en	ADP	39	case
38	el	DET	39	det
39	nivel	NOUN	36	obl
40	más	ADV	41	advmod
41	alto	ADJ	39	amod
42	de	ADP	44	case
43	su	DET	44	det
44	historia	NOUN	39	nmod
45	.	PUNCT	32	punct