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 externalización de los planes de pensiones, otorgados y pactados entre empresa y trabajadores, por su acentuada actualidad ya ha sido objeto en las últimas semanas de diversos comentarios.
Postion	Tokenization
1	La
2	externalización
3	de
4	los
5	planes
6	de
7	pensiones
8	,
9	otorgados
10	y
11	pactados
12	entre
13	empresa
14	y
15	trabajadores
16	,
17	por
18	su
19	acentuada
20	actualidad
21	ya
22	ha
23	sido
24	objeto
25	en
26	las
27	últimas
28	semanas
29	de
30	diversos
31	comentarios
32	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	externalización	NOUN	24	nsubj
3	de	ADP	5	case
4	los	DET	5	det
5	planes	NOUN	2	nmod
6	de	ADP	7	case
7	pensiones	NOUN	5	nmod
8	,	PUNCT	9	punct
9	otorgados	ADJ	5	amod
10	y	CCONJ	11	cc
11	pactados	ADJ	9	conj
12	entre	ADP	13	case
13	empresa	NOUN	11	obl
14	y	CCONJ	15	cc
15	trabajadores	NOUN	13	conj
16	,	PUNCT	20	punct
17	por	ADP	20	case
18	su	DET	20	det
19	acentuada	ADJ	20	amod
20	actualidad	NOUN	2	nmod
21	ya	ADV	24	advmod
22	ha	AUX	24	aux
23	sido	AUX	24	cop
24	objeto	NOUN	0	root
25	en	ADP	28	case
26	las	DET	28	det
27	últimas	ADJ	28	amod
28	semanas	NOUN	24	nmod
29	de	ADP	31	case
30	diversos	DET	31	det
31	comentarios	NOUN	24	nmod
32	.	PUNCT	24	punct