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:
En general, defendió una mayor colaboración entre el sector público y el sector privado en este campo, ya que dijo que esto se está aprendiendo en otros sectores, pero en política exterior "estamos en mantillas".
Postion	Tokenization
1	En
2	general
3	,
4	defendió
5	una
6	mayor
7	colaboración
8	entre
9	el
10	sector
11	público
12	y
13	el
14	sector
15	privado
16	en
17	este
18	campo
19	,
20	ya
21	que
22	dijo
23	que
24	esto
25	se
26	está
27	aprendiendo
28	en
29	otros
30	sectores
31	,
32	pero
33	en
34	política
35	exterior
36	"
37	estamos
38	en
39	mantillas
40	"
41	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	advmod
2	general	NOUN	1	fixed
3	,	PUNCT	1	punct
4	defendió	VERB	0	root
5	una	DET	7	det
6	mayor	ADJ	7	amod
7	colaboración	NOUN	4	obj
8	entre	ADP	10	case
9	el	DET	10	det
10	sector	NOUN	7	nmod
11	público	ADJ	10	amod
12	y	CCONJ	14	cc
13	el	DET	14	det
14	sector	NOUN	10	conj
15	privado	ADJ	14	amod
16	en	ADP	18	case
17	este	DET	18	det
18	campo	NOUN	7	nmod
19	,	PUNCT	22	punct
20	ya	ADV	22	mark
21	que	SCONJ	20	fixed
22	dijo	VERB	4	advcl
23	que	SCONJ	27	mark
24	esto	PRON	27	nsubj
25	se	PRON	27	expl:pass
26	está	AUX	27	aux
27	aprendiendo	VERB	22	ccomp
28	en	ADP	30	case
29	otros	DET	30	det
30	sectores	NOUN	27	obl
31	,	PUNCT	39	punct
32	pero	CCONJ	39	cc
33	en	ADP	34	case
34	política	NOUN	39	obl
35	exterior	ADJ	34	amod
36	"	PUNCT	39	punct
37	estamos	AUX	39	cop
38	en	ADP	39	case
39	mantillas	NOUN	27	conj
40	"	PUNCT	4	punct
41	.	PUNCT	4	punct