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 Tesoro concentrará la financiación neta del Estado en bonos y obligaciones, mientras que las emisiones en letras serán inferiores a las amortizaciones.
Postion	Tokenization
1	El
2	Tesoro
3	concentrará
4	la
5	financiación
6	neta
7	del
8	Estado
9	en
10	bonos
11	y
12	obligaciones
13	,
14	mientras
15	que
16	las
17	emisiones
18	en
19	letras
20	serán
21	inferiores
22	a
23	las
24	amortizaciones
25	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Tesoro	PROPN	3	nsubj
3	concentrará	VERB	14	parataxis
4	la	DET	5	det
5	financiación	NOUN	3	obj
6	neta	ADJ	5	amod
7	del	ADP	8	case
8	Estado	PROPN	5	nmod
9	en	ADP	10	case
10	bonos	NOUN	3	obl
11	y	CCONJ	12	cc
12	obligaciones	NOUN	10	conj
13	,	PUNCT	14	punct
14	mientras	CCONJ	0	root
15	que	SCONJ	14	fixed
16	las	DET	17	det
17	emisiones	NOUN	21	nsubj
18	en	ADP	19	case
19	letras	NOUN	17	nmod
20	serán	AUX	21	cop
21	inferiores	ADJ	14	parataxis
22	a	ADP	24	case
23	las	DET	24	det
24	amortizaciones	NOUN	21	nmod
25	.	PUNCT	14	punct