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 Ibex 35 ha acumulado una subida del 11,05%, lo que le ha llevado por encima de los 10.000 puntos, concretamente hasta 10.116 puntos.
Postion	Tokenization
1	El
2	Ibex
3	35
4	ha
5	acumulado
6	una
7	subida
8	del
9	11,05%
10	,
11	lo
12	que
13	le
14	ha
15	llevado
16	por
17	encima
18	de
19	los
20	10.000
21	puntos
22	,
23	concretamente
24	hasta
25	10.116
26	puntos
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Ibex	PROPN	5	nsubj
3	35	NUM	2	nummod
4	ha	AUX	5	aux
5	acumulado	VERB	0	root
6	una	DET	7	det
7	subida	NOUN	5	obj
8	del	ADP	9	case
9	11,05%	SYM	7	nmod
10	,	PUNCT	15	punct
11	lo	PRON	15	det
12	que	PRON	15	nsubj
13	le	PRON	15	obj
14	ha	AUX	15	aux
15	llevado	VERB	5	advcl
16	por	ADP	21	case
17	encima	ADV	16	fixed
18	de	ADP	16	fixed
19	los	DET	20	det
20	10.000	NUM	21	nummod
21	puntos	NOUN	15	obl
22	,	PUNCT	23	punct
23	concretamente	ADV	21	advmod
24	hasta	ADP	23	case
25	10.116	NUM	26	nummod
26	puntos	NOUN	23	nmod
27	.	PUNCT	5	punct