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:
Además, recordó, la media diaria de negociación se situaba en los 108 millones de euros, mientras que en 1999 el promedio alcanzó los 1.181 millones de euros.
Postion	Tokenization
1	Además
2	,
3	recordó
4	,
5	la
6	media
7	diaria
8	de
9	negociación
10	se
11	situaba
12	en
13	los
14	108
15	millones
16	de
17	euros
18	,
19	mientras
20	que
21	en
22	1999
23	el
24	promedio
25	alcanzó
26	los
27	1.181
28	millones
29	de
30	euros
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	11	advmod
2	,	PUNCT	3	punct
3	recordó	VERB	11	parataxis
4	,	PUNCT	3	punct
5	la	DET	6	det
6	media	NOUN	11	nsubj
7	diaria	ADJ	6	amod
8	de	ADP	9	case
9	negociación	NOUN	6	nmod
10	se	PRON	11	expl:pv
11	situaba	VERB	19	parataxis
12	en	ADP	15	case
13	los	DET	14	det
14	108	NUM	15	nummod
15	millones	NOUN	11	obj
16	de	ADP	17	case
17	euros	NOUN	15	nmod
18	,	PUNCT	19	punct
19	mientras	CCONJ	0	root
20	que	SCONJ	19	fixed
21	en	ADP	22	case
22	1999	NOUN	25	obl
23	el	DET	24	det
24	promedio	NOUN	25	nsubj
25	alcanzó	VERB	19	parataxis
26	los	DET	27	det
27	1.181	NUM	28	nummod
28	millones	NOUN	25	obj
29	de	ADP	30	case
30	euros	NOUN	28	nmod
31	.	PUNCT	19	punct