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:
"Con el tiempo, ese paso le ha dado otra personalidad a la empresa", asegura, junto con las incorporaciones de la segunda generación en la empresa familiar.
Postion	Tokenization
1	"
2	Con
3	el
4	tiempo
5	,
6	ese
7	paso
8	le
9	ha
10	dado
11	otra
12	personalidad
13	a
14	la
15	empresa
16	"
17	,
18	asegura
19	,
20	junto
21	con
22	las
23	incorporaciones
24	de
25	la
26	segunda
27	generación
28	en
29	la
30	empresa
31	familiar
32	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	10	punct
2	Con	ADP	4	case
3	el	DET	4	det
4	tiempo	NOUN	10	obl
5	,	PUNCT	4	punct
6	ese	DET	7	det
7	paso	NOUN	10	nsubj
8	le	PRON	10	obj
9	ha	AUX	10	aux
10	dado	VERB	18	ccomp
11	otra	DET	12	det
12	personalidad	NOUN	10	obj
13	a	ADP	15	case
14	la	DET	15	det
15	empresa	NOUN	10	obj
16	"	PUNCT	10	punct
17	,	PUNCT	10	punct
18	asegura	VERB	0	root
19	,	PUNCT	23	punct
20	junto	ADJ	23	case
21	con	ADP	20	fixed
22	las	DET	23	det
23	incorporaciones	NOUN	18	obl
24	de	ADP	27	case
25	la	DET	27	det
26	segunda	ADJ	27	amod
27	generación	NOUN	23	nmod
28	en	ADP	30	case
29	la	DET	30	det
30	empresa	NOUN	23	nmod
31	familiar	ADJ	30	amod
32	.	PUNCT	18	punct