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:
Los inversores solicitaron letras por importe de 948 millones de euros (157.734 millones de pesetas), aunque el Tesoro sólo adjudicó títulos por importe de 125 millones de euros (20.798 millones de pesetas).
Postion	Tokenization
1	Los
2	inversores
3	solicitaron
4	letras
5	por
6	importe
7	de
8	948
9	millones
10	de
11	euros
12	(
13	157.734
14	millones
15	de
16	pesetas
17	)
18	,
19	aunque
20	el
21	Tesoro
22	sólo
23	adjudicó
24	títulos
25	por
26	importe
27	de
28	125
29	millones
30	de
31	euros
32	(
33	20.798
34	millones
35	de
36	pesetas
37	)
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	inversores	NOUN	3	nsubj
3	solicitaron	VERB	0	root
4	letras	NOUN	3	obj
5	por	ADP	6	case
6	importe	NOUN	4	nmod
7	de	ADP	9	case
8	948	NUM	9	nummod
9	millones	NOUN	6	nmod
10	de	ADP	11	case
11	euros	NOUN	9	nmod
12	(	PUNCT	14	punct
13	157.734	NUM	14	nummod
14	millones	NOUN	9	appos
15	de	ADP	16	case
16	pesetas	NOUN	14	nmod
17	)	PUNCT	14	punct
18	,	PUNCT	23	punct
19	aunque	SCONJ	23	mark
20	el	DET	21	det
21	Tesoro	PROPN	23	nsubj
22	sólo	ADV	23	advmod
23	adjudicó	VERB	3	advcl
24	títulos	NOUN	23	obj
25	por	ADP	26	case
26	importe	NOUN	24	nmod
27	de	ADP	29	case
28	125	NUM	29	nummod
29	millones	NOUN	26	nmod
30	de	ADP	31	case
31	euros	NOUN	29	nmod
32	(	PUNCT	34	punct
33	20.798	NUM	34	nummod
34	millones	NOUN	29	appos
35	de	ADP	36	case
36	pesetas	NOUN	34	nmod
37	)	PUNCT	34	punct
38	.	PUNCT	3	punct