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 acciones de British Telecom (BT) bajaron 8 peniques y se situaron en 670 peniques, en tanto que las de Vodafone bajaron tres peniques y se colocaron en los 270 peniques.
Postion	Tokenization
1	Las
2	acciones
3	de
4	British
5	Telecom
6	(
7	BT
8	)
9	bajaron
10	8
11	peniques
12	y
13	se
14	situaron
15	en
16	670
17	peniques
18	,
19	en
20	tanto
21	que
22	las
23	de
24	Vodafone
25	bajaron
26	tres
27	peniques
28	y
29	se
30	colocaron
31	en
32	los
33	270
34	peniques
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	acciones	NOUN	9	nsubj
3	de	ADP	4	case
4	British	PROPN	2	nmod
5	Telecom	PROPN	4	flat
6	(	PUNCT	7	punct
7	BT	PROPN	4	flat
8	)	PUNCT	7	punct
9	bajaron	VERB	19	parataxis
10	8	NUM	11	nummod
11	peniques	NOUN	9	obj
12	y	CCONJ	19	cc
13	se	PRON	14	expl:pv
14	situaron	VERB	19	parataxis
15	en	ADP	17	case
16	670	NUM	17	nummod
17	peniques	NOUN	14	obj
18	,	PUNCT	19	punct
19	en	ADP	0	root
20	tanto	NOUN	19	fixed
21	que	SCONJ	19	fixed
22	las	DET	25	det
23	de	ADP	22	case
24	Vodafone	PROPN	22	nsubj
25	bajaron	VERB	19	parataxis
26	tres	NUM	27	nummod
27	peniques	NOUN	25	obj
28	y	CCONJ	30	cc
29	se	PRON	30	expl:pv
30	colocaron	VERB	25	conj
31	en	ADP	34	case
32	los	DET	33	det
33	270	NUM	34	nummod
34	peniques	NOUN	30	obj
35	.	PUNCT	19	punct