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 text: V příštích dvanácti měsících uvedeme na český trh další dva až tři produkty, které podporují dobrý zdravotní stav, například příznivě ovlivňují dýchání a zažívání , říká Christopher Taylor , ředitel Lambert Warner pro střední Evropu (na snímku).
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	4	case
2	příštích	ADJ	4	amod
3	dvanácti	NUM	4	nummod
4	měsících	NOUN	5	obl
5	uvedeme	VERB	28	ccomp
6	na	ADP	8	case
7	český	ADJ	8	amod
8	trh	NOUN	5	obl
9	další	ADJ	13	amod
10	dva	NUM	13	nummod
11	až	CCONJ	12	cc
12	tři	NUM	10	conj
13	produkty	NOUN	5	obj
14	,	PUNCT	16	punct
15	které	DET	16	nsubj
16	podporují	VERB	13	acl:relcl
17	dobrý	ADJ	19	amod
18	zdravotní	ADJ	19	amod
19	stav	NOUN	16	obj
20	,	PUNCT	23	punct
21	například	ADV	23	advmod
22	příznivě	ADV	23	advmod
23	ovlivňují	VERB	16	conj
24	dýchání	NOUN	23	obj
25	a	CCONJ	26	cc
26	zažívání	NOUN	24	conj
27	,	PUNCT	16	punct
28	říká	VERB	0	root
29	Christopher	PROPN	28	nsubj
30	Taylor	PROPN	29	flat
31	,	PUNCT	32	punct
32	ředitel	NOUN	29	appos
33	Lambert	PROPN	32	nmod
34	Warner	PROPN	33	flat
35	pro	ADP	37	case
36	střední	ADJ	37	amod
37	Evropu	PROPN	32	nmod
38	(	PUNCT	29	punct
39	na	ADP	40	case
40	snímku	NOUN	29	dep
41	)	PUNCT	29	punct
42	.	PUNCT	28	punct