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:
La rentabilidad de las letras a seis meses ha aumentado desde el comienzo de este año un 1,337 por ciento, al pasar del 3,402 por ciento del cierre de 1999 al 4,739 por ciento en que lo situó hoy el Tesoro.
Postion	Tokenization
1	La
2	rentabilidad
3	de
4	las
5	letras
6	a
7	seis
8	meses
9	ha
10	aumentado
11	desde
12	el
13	comienzo
14	de
15	este
16	año
17	un
18	1,337
19	por
20	ciento
21	,
22	al
23	pasar
24	del
25	3,402
26	por
27	ciento
28	del
29	cierre
30	de
31	1999
32	al
33	4,739
34	por
35	ciento
36	en
37	que
38	lo
39	situó
40	hoy
41	el
42	Tesoro
43	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	rentabilidad	NOUN	10	nsubj
3	de	ADP	5	case
4	las	DET	5	det
5	letras	NOUN	2	nmod
6	a	ADP	8	case
7	seis	NUM	8	nummod
8	meses	NOUN	5	nmod
9	ha	AUX	10	aux
10	aumentado	VERB	0	root
11	desde	ADP	13	case
12	el	DET	13	det
13	comienzo	NOUN	10	obl
14	de	ADP	16	case
15	este	DET	16	det
16	año	NOUN	13	nmod
17	un	DET	18	det
18	1,337	NUM	10	obj
19	por	ADP	20	case
20	ciento	NUM	18	compound
21	,	PUNCT	23	punct
22	al	ADP	23	mark
23	pasar	VERB	10	advcl
24	del	ADP	25	case
25	3,402	NUM	23	obl
26	por	ADP	27	case
27	ciento	NUM	25	compound
28	del	ADP	29	case
29	cierre	NOUN	25	nmod
30	de	ADP	31	case
31	1999	NOUN	29	nmod
32	al	ADP	33	case
33	4,739	NUM	23	obl
34	por	ADP	35	case
35	ciento	NUM	33	compound
36	en	ADP	37	case
37	que	PRON	39	obl
38	lo	PRON	39	obj
39	situó	VERB	33	advcl
40	hoy	ADV	39	advmod
41	el	DET	42	det
42	Tesoro	PROPN	39	nsubj
43	.	PUNCT	10	punct