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:
Dijo que, por contra, el Ejecutivo vasco mostró más flexibilidad al subir su oferta inicial del cupo de 174.000 millones hasta 181.471 millones.
Postion	Tokenization
1	Dijo
2	que
3	,
4	por
5	contra
6	,
7	el
8	Ejecutivo
9	vasco
10	mostró
11	más
12	flexibilidad
13	al
14	subir
15	su
16	oferta
17	inicial
18	del
19	cupo
20	de
21	174.000
22	millones
23	hasta
24	181.471
25	millones
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Dijo	VERB	0	root
2	que	SCONJ	10	mark
3	,	PUNCT	4	punct
4	por	ADP	10	advmod
5	contra	NOUN	4	fixed
6	,	PUNCT	4	punct
7	el	DET	8	det
8	Ejecutivo	PROPN	10	nsubj
9	vasco	ADJ	8	amod
10	mostró	VERB	1	ccomp
11	más	ADV	12	advmod
12	flexibilidad	NOUN	10	obj
13	al	ADP	14	mark
14	subir	VERB	10	advcl
15	su	DET	16	det
16	oferta	NOUN	14	obj
17	inicial	ADJ	16	amod
18	del	ADP	19	case
19	cupo	NOUN	16	nmod
20	de	ADP	22	case
21	174.000	NUM	22	nummod
22	millones	NOUN	14	obl
23	hasta	ADP	25	case
24	181.471	NUM	25	nummod
25	millones	NOUN	14	obl
26	.	PUNCT	1	punct