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:
Como el señor Núñez nos tiene dicho que no se puede llamar extranjero a un holandés que trabaja en Barcelona, podemos sugerir el camino contrario: en Holanda, según una encuesta de Inter / View hay más de 100.000 puestos de trabajo por cubrir.
Postion	Tokenization
1	Como
2	el
3	señor
4	Núñez
5	nos
6	tiene
7	dicho
8	que
9	no
10	se
11	puede
12	llamar
13	extranjero
14	a
15	un
16	holandés
17	que
18	trabaja
19	en
20	Barcelona
21	,
22	podemos
23	sugerir
24	el
25	camino
26	contrario
27	:
28	en
29	Holanda
30	,
31	según
32	una
33	encuesta
34	de
35	Inter
36	/
37	View
38	hay
39	más
40	de
41	100.000
42	puestos
43	de
44	trabajo
45	por
46	cubrir
47	.
Position	Tokenization	UPOS	Head	Deprel
1	Como	SCONJ	6	mark
2	el	DET	4	det
3	señor	NOUN	6	nsubj
4	Núñez	PROPN	3	flat
5	nos	PRON	6	iobj
6	tiene	VERB	23	advcl
7	dicho	ADJ	6	iobj
8	que	SCONJ	12	mark
9	no	ADV	12	advmod
10	se	PRON	12	expl:pass
11	puede	AUX	12	aux
12	llamar	VERB	6	xcomp
13	extranjero	NOUN	12	obj
14	a	ADP	16	case
15	un	DET	16	det
16	holandés	NOUN	12	obj
17	que	PRON	18	nsubj
18	trabaja	VERB	16	acl
19	en	ADP	20	case
20	Barcelona	PROPN	18	obl
21	,	PUNCT	6	punct
22	podemos	AUX	23	aux
23	sugerir	VERB	0	root
24	el	DET	25	det
25	camino	NOUN	23	obj
26	contrario	ADJ	25	amod
27	:	PUNCT	38	punct
28	en	ADP	29	case
29	Holanda	PROPN	38	obl
30	,	PUNCT	33	punct
31	según	ADP	33	case
32	una	DET	33	det
33	encuesta	NOUN	38	obl
34	de	ADP	35	case
35	Inter	PROPN	33	nmod
36	/	PUNCT	35	punct
37	View	PROPN	35	flat
38	hay	AUX	23	advcl
39	más	ADV	42	advmod
40	de	ADP	39	case
41	100.000	NUM	39	nummod
42	puestos	NOUN	38	obj
43	de	ADP	44	case
44	trabajo	NOUN	42	nmod
45	por	ADP	46	mark
46	cubrir	VERB	42	acl
47	.	PUNCT	23	punct