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:
La fusión, la respuesta a la concentración de las suizas Ciba y Sandoz en Novartis, costará unos 286.000 millones de pesetas, según el responsable financiero del nuevo conglomerado, Patrick Langlois.
Postion	Tokenization
1	La
2	fusión
3	,
4	la
5	respuesta
6	a
7	la
8	concentración
9	de
10	las
11	suizas
12	Ciba
13	y
14	Sandoz
15	en
16	Novartis
17	,
18	costará
19	unos
20	286.000
21	millones
22	de
23	pesetas
24	,
25	según
26	el
27	responsable
28	financiero
29	del
30	nuevo
31	conglomerado
32	,
33	Patrick
34	Langlois
35	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	fusión	NOUN	18	nsubj
3	,	PUNCT	5	punct
4	la	DET	5	det
5	respuesta	NOUN	2	appos
6	a	ADP	8	case
7	la	DET	8	det
8	concentración	NOUN	5	nmod
9	de	ADP	11	case
10	las	DET	11	det
11	suizas	NOUN	8	nmod
12	Ciba	PROPN	11	appos
13	y	CCONJ	14	cc
14	Sandoz	PROPN	12	conj
15	en	ADP	16	case
16	Novartis	PROPN	8	nmod
17	,	PUNCT	5	punct
18	costará	VERB	0	root
19	unos	PRON	20	nmod
20	286.000	NUM	21	nummod
21	millones	NOUN	18	xcomp
22	de	ADP	23	case
23	pesetas	NOUN	21	nmod
24	,	PUNCT	27	punct
25	según	ADP	27	case
26	el	DET	27	det
27	responsable	NOUN	18	obl
28	financiero	ADJ	27	amod
29	del	ADP	31	case
30	nuevo	ADJ	31	amod
31	conglomerado	NOUN	27	nmod
32	,	PUNCT	33	punct
33	Patrick	PROPN	27	appos
34	Langlois	PROPN	33	flat
35	.	PUNCT	18	punct