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:
Las bolsas españolas registraron ayer una sesión marcada por las ventas y las recogidas de beneficios, después de varias jornadas con predominio de subidas.
Postion	Tokenization
1	Las
2	bolsas
3	españolas
4	registraron
5	ayer
6	una
7	sesión
8	marcada
9	por
10	las
11	ventas
12	y
13	las
14	recogidas
15	de
16	beneficios
17	,
18	después
19	de
20	varias
21	jornadas
22	con
23	predominio
24	de
25	subidas
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	bolsas	NOUN	4	nsubj
3	españolas	ADJ	2	amod
4	registraron	VERB	0	root
5	ayer	ADV	4	advmod
6	una	DET	7	det
7	sesión	NOUN	4	obj
8	marcada	ADJ	7	amod
9	por	ADP	11	case
10	las	DET	11	det
11	ventas	NOUN	8	obj
12	y	CCONJ	14	cc
13	las	DET	14	det
14	recogidas	NOUN	11	conj
15	de	ADP	16	case
16	beneficios	NOUN	14	nmod
17	,	PUNCT	18	punct
18	después	ADV	4	advmod
19	de	ADP	21	case
20	varias	DET	21	det
21	jornadas	NOUN	18	obl
22	con	ADP	23	case
23	predominio	NOUN	21	nmod
24	de	ADP	25	case
25	subidas	NOUN	23	nmod
26	.	PUNCT	4	punct